CAIRN-INT.INFO : International Edition

1As it does each year, the journal Population publishes a special article on recent demographic developments in France. This detailed review uses the most recent data available to analyse the trends in migration, fertility and births, induced abortions, unions and dissolutions, and mortality. Among other developments, 2018 has confirmed the slowdown in France’s population growth related to the decrease in births, partly due both to the decrease in fertility for the fourth consecutive year and to a historically high number of deaths stemming from population ageing. ‘Recent Demographic Trends in France’ features a common thread each year, analysing, for example in 2017, the differences between French departments (départements) and in 2018, seasonal patterns of demographic events. This year, we focus on comparisons with other European countries and show how France, the second most populated country in Europe behind Germany, is a demographic outlier among the 28 member states of the European Union (EU-28).

Overview

2On 1 January 2019, the population of France was nearly 67 million (66.99 million). The annual increase was again smaller than that of the previous year but still driven mainly by an excess of births over deaths (rather than positive net migration). Natural growth nonetheless fell to its lowest level for 40 years. On 1 January 2018, France was the second most populated country in Europe—13.1% of the population of the 28 European Union countries, behind Germany with 16.2%—but also the youngest, even though the recent decline in births (82,000 fewer than in 2010) is shifting the age structure closer to that of the EU-28.

3In 2017, 237,742 migrants entered France from third countries whose nationals must hold a residence permit to remain in France. This was the highest number since 2000 (+9% with respect to 2016 and +32% with respect to 2012). Most migrants were from Africa, although inflows from Asia are also increasing. More than half of incoming migrants from third countries are men. This reflects the growing share of inflows from Africa and Asia, in which men traditionally outnumber women. While a large share of residence permits are granted for family reasons (45.2%, down 3.8 points in 1 year), it was the share of permits granted for ‘humanitarian’ reasons (refugees, stateless persons, asylum seekers) that increased the most in 2017. At the European level, according to Eurostat statistics, France ranks fifth in Europe in numbers of entries (behind Germany, the United Kingdom, Italy, and Spain, the four most populated countries of the EU), but has one of Europe’s lowest immigration rates (below 0.5%).

4The annual number of registered births (759,000) fell for the fourth consecutive year in 2018 due to a decrease in the population of women of reproductive age, but also a decline in fertility. The total fertility rate was 1.87 children per women in 2018, and the mean age at childbearing increased yet again (30.6 years). There is no sign of a trend reversal in the first months of 2019, although the decline in birth numbers appears to be slowing. The fertility decline mainly concerns the 20–29 age group. The proportion of childless women is increasing at these ages, although we still cannot determine whether this is due to postponement of first births that will occur at later ages or to an increase in permanent childlessness in these cohorts. France is still the most fertile European country, and age at childbearing is quite young compared to other countries with relatively high fertility. Alongside Ireland, France is the only country where the cohorts born in the 1980s will reach replacement levels of fertility (2.1 children per woman).

5The number of induced abortions increased in 2018 (224,300 vs. 217,800 in 2017) but remained below the levels of 2013 and 2014. The increase in abortions has raised the total abortion rate. It now stands at 0.56 abortions per woman. France is one of the European countries where abortion rates are highest; this is probably linked to its high level of fertility. Since 2016, midwives have been authorized to perform abortions under certain conditions, making it easier for women to access abortion services. This new legislation reflects the growing trend towards non-hospital procedures, for medical abortions especially.

6PACS unions (pacte civil de solidarité [civil solidarity pact]) increased in 2017, as did marriages but much more slowly. As a result, the difference between the number of marriages (233,915) and PACS unions (193,950) reached a historically low level. Overall, 3.1% of marriages and 3.8% of PACS unions are between same-sex partners. These percentages are among the highest in Europe. The mean age at entry into a PACS union was stable in 2017, remaining below the age at marriage, which continued to increase. Marriages and PACS unions are partly linked because a non-negligible share of marriages is between partners already in a PACS. Analysis of PACS statistics shows that this share is higher for same-sex couples (more than 1 in 3 in 2016) than for different-sex couples (almost 1 marriage in 6). The recorded number of divorces fell sharply in 2017, contrary to expectation, following the entry into force of new legislation that allows couples to divorce without going through the courts. In reality, this decrease results in a statistical problem due to failures to submit information on divorces by mutual consent registered by notaries. As this problem does not affect PACS dissolution statistics, we were able to calculate a new longitudinal indicator of PACS dissolutions. More than half of the PACS unions registered in 2007 were dissolved before their 10th anniversary, by mutual consent in most cases, but also not infrequently by marriage (15% to 20%). PACS unions between two women are dissolved most frequently, especially when the partners are young. Marriages in France occur later and are less frequent than in the rest of Europe. The existence of the PACS union as an alternative to marriage for all couples, a singularity in Europe (only the Netherlands has a similar type of contract), may partly explain the low propensity to marry in France.

7In 2018, 614,000 deaths were registered in France, a record since the Second World War. The uptrend in deaths is explained mainly by population ageing and the large post-war baby-boom cohorts now reaching advanced ages. This trend is set to continue. While life expectancy is still increasing (reaching 79.4 years for males and 85.3 years for females), annual gains are becoming much smaller, mainly due to a slowdown in mortality decline before age 45. Over the long term, life expectancy gains are larger for males, and the gender gap is progressively narrowing. Female life expectancy in France was the highest in Europe in 2017, but the situation is less favourable for males (ninth position). For both sexes combined, France is among the countries with the lowest mortality levels in Europe. This situation is linked to several factors, including high survival rates at advanced ages thanks in part to lower cardiovascular mortality than in most other European countries. France is one of the rare countries in the world where cardiovascular diseases are not the leading cause of death (cancer has ranked first since 1990). Mortality before age 65, on the other hand, including child mortality, is relatively high. Infant mortality stands at 3.9 per 1,000 versus 2.0 or 2.5 per 1,000 in the Scandinavian countries. Progress in reducing premature mortality should bring France into line with its European neighbours and produce significant progress in life expectancy at birth.

I – General trends and population age structure

1 – Europe’s highest rate of natural growth

8On 1 January 2019, the population of France was almost 67 million (66,992,699), including 2.18 million in the overseas departments and regions (Papon and Beaumel, 2019). In 2018, the population of France increased slowly, by 3.1 per 1,000 overall and by just 2.8 per 1,000 in metropolitan France (mainland France and Corsica) (Appendix Table A.1). [1] Natural growth still accounts for a large share of population increase, although the difference between numbers of births and deaths fell again in 2018 and is now below 150,000. This historic low is the result of a decrease in births and an increase in deaths that stem from age-structure effects (population ageing and fewer women of childbearing age) and a change in demographic behaviour (notably fertility decline).

9France is the second most populated country of the EU, behind Germany (83 million) and ahead of the United Kingdom (since 1986 only) (Table 1). On 1 January 2019, France accounted for 13.1% of the population of the 28 European Union countries and 15% if we exclude the United Kingdom. The four most populated countries (Germany, France, United Kingdom, and Italy) are home to 54% of the EU-28 population in 2019, and the top seven account for three-quarters of the total. France has Europe’s highest level of natural growth in absolute terms and ranks among European leaders in relative terms, after Ireland, Cyprus, Luxembourg, and Sweden (Table 1). France is an outlier in this respect, as natural growth in 2018 was negative in most EU-28 countries, notably in Eastern Europe and the Baltic countries (Fihel and Okólski, 2019).

10The contribution of migration to French population growth is difficult to interpret. Since 2015, the National Institute for Statistics and Economic Studies (Institut national de la statistique et des études économiques [INSEE]) has had to adjust the net migration figures each year. In 2018, estimated net migration was +58,000, but this figure was corrected by −100,000 to achieve consistency with the population estimates for 1 January based on census data (Papon and Beaumel, 2019). This makes European comparisons difficult. According to the indicators published by Eurostat, French adjusted net migration is negative, and France is the European country with the second lowest absolute level of net migration (Table 1). [2]

Table 1

Population size, natural growth, and net migration, EU-28 countries

Table 1
Population on 1 January 2019 Natural increase Net migration Number (millions) Growth 2018–2019 (per 1,000) Total (thousands) Rate (per 1,000) Total (thousands) Rate (per 1,000) Germany 83.0 2.7 –167.4 –2.0 394.2 4.8 France 67.0 1.5 144.5 2.2 –42.6* –0.6 United Kingdom 66.6 5.6 115.2 1.7 258.3 3.9 Italy 60.4 –2.1 –193.4 –3.2 69.0 1.1 Spain 46.9 5.9 –56.3 –1.2 332.4 7.1 Poland 38.0 –0.1 –26.0 –0.7 22.1 0.6 Romania 19.4 –6.6 –75.3 –3.9 –53.7 –2.8 Netherlands 17.3 5.9 14.7 0.9 86.4 5.0 Belgium 11.5 6.1 7.6 0.7 61.7 5.4 Greece 10.7 –1.8 –33.9 –3.2 15.0 1.4 Czech Republic 10.6 3.7 1.1 0.1 38.6 3.6 Portugal 10.3 –1.4 –26.0 –2.5 11.6 1.1 Sweden 10.2 10.8 23.6 2.3 86.3 8.5 Hungary 9.8 –0.6 –37.8 –3.9 32.2 3.3 Austria 8.9 4.1 1.6 0.2 34.9 4.0 Bulgaria 7.0 –7.1 –46.3 –6.6 –3.7 –0.5 Denmark 5.8 4.3 6.2 1.1 18.6 3.2 Finland 5.5 0.9 –7.0 –1.3 11.7 2.1 Slovakia 5.5 1.3 3.3 0.6 4.0 0.7 Ireland 4.9 15.2 29.9 6.1 44.0 9.0 Croatia 4.1 –7.1 –15.8 –3.9 –13.5 –3.3 Lithuania 2.8 –5.3 –11.4 –4.1 –3.3 –1.2 Slovenia 2.1 6.8 –0.9 –0.4 14.9 7.2 Latvia 1.9 –7.5 –9.5 –4.9 –4.9 –2.5 Estonia 1.3 4.3 –1.4 –1.0 7.1 5.3 Cyprus 0.9 13.4 3.6 4.1 8.1 9.3 Luxembourg 0.6 19.6 2.0 3.2 9.9 16.3 Malta 0.5 36.8 0.8 1.6 17.1 35.3 EU-28 513.5 2.1 –354.2 –0.7 1,456.7 2.8

Population size, natural growth, and net migration, EU-28 countries

* Net migration published by Eurostat, which does not take into account INSEE’s correction (+100,000).
Interpretation: The seven countries with the highest figures in each column are in bold, and the seven with the lowest are in italics. The countries are listed in decreasing order of population size in mid-2018.
Coverage: EU-28.
Sources: Eurostat, authors’ calculations.

2 – The base of the population pyramid continues to narrow

11For the last 8 years, the number of births has been decreasing. In metropolitan France, 82,000 fewer children were born in 2018 than in 2010 (−10%), and the base of the population pyramid has narrowed as a result. This decrease is due to lower fertility and, above all, to an age-structure effect (fewer potential mothers). The narrowing base of the pyramid corresponds to the drop in numbers of women born between 1986 and 1994 (points 6 and 7 in Figure 1). Births in 2018 for the whole of France (760,000) were almost equivalent to that in 1993 (741,000), the year with the lowest recorded number since 1946 (Festy, 1995). [3]

Figure 1

Population pyramid of France on 1 January 2019 (numbers)

Figure 1

Population pyramid of France on 1 January 2019 (numbers)

Coverage: Whole of France (including Mayotte).
Source: INSEE.

12While the base of the French population pyramid is much wider than that of EU-28 (Figure 2), the difference is much smaller than it was in the early 2010s (Prioux and Barbieri, 2012). The shapes of the French and European pyramids differ because the French share of the European population varies by age (Figure 3). More than 1 in 6 Europeans under age 18 live in France (15%), but only 1 in 10 of those aged 75–79, born during the Second World War. German and Italian populations, on the one hand, and that of the French and UK populations, on the other, present differences in the timing and speed of fertility decline (Sauvy and Ledermann, 1946; Pison, 2012). The contribution of Italy, with the fourth largest EU-28 population, has been declining steadily; the Italian cohorts aged 0–5 now account for less than 10% of the European population at these ages.

Figure 2

Population pyramid of EU-28 and France on 1 January 2018 (per 100 inhabitants)

Figure 2

Population pyramid of EU-28 and France on 1 January 2018 (per 100 inhabitants)

Coverage: Whole of France (including Mayotte) and EU-28.
Sources: Eurostat, authors’ calculations.
Figure 3

Share of the inhabitants of Europe’s four most populated countries in the EU-28 population by age in 2018

Figure 3

Share of the inhabitants of Europe’s four most populated countries in the EU-28 population by age in 2018

Coverage: Whole of France (including Mayotte) and other countries.
Sources: Eurostat, authors’ calculations.

3 – Fewer men than women above age 25

13With 93.6 males per 100 females, the sex ratio (proportion of males to females) in France is among the lowest in Europe, well below the European average (95.7) but above the very low levels observed in the Baltic countries (Table 2). These countries’ populations are declining rapidly due to mass emigration (Breton et al., 2018; Fihel and Okólski, 2019), of men especially. This might explain the positive correlation between the sex ratio in 2018 and the population increase between 1998 and 2018 (r² = 0.63 / p < 0.01).

Table 2

Structural characteristics of the EU-28 populations in 2008 and 2018

Table 2
Mid-year population (millions) Median age Proportion aged 65+ Sex ratio Country Increase 2008 2018 (%) 2008 2018 2008 2018 2008 2018 Germany 82.1 82.9 1.0 43.2 46.0 20.1 21.4 96.1 97.4 France 64.2 67.0 4.4 39.3 41.6 16.4 19.7 93.8 93.6 United Kingdom 61.8 66.5 7.5 39.1 40.1 15.9 18.2 96.1 97.5 Italy 58.8 60.4 2.7 42.7 46.3 20.2 22.6 94.0 94.8 Spain 46.0 46.8 1.8 39.2 43.6 16.4 19.2 97.8 96.2 Poland 38.1 38.0 –0.4 37.3 40.6 13.5 17.1 93.5 93.8 Romania 20.5 19.5 –5.2 38.7 42.1 15.4 18.2 95.0 95.8 Netherlands 16.4 17.2 4.8 40.0 42.6 14.7 18.9 97.8 98.5 Greece 11.1 10.7 –3.1 40.3 44.6 18.7 21.8 97.1 94.2 Belgium 10.7 11.4 6.8 40.7 41.6 17.1 18.7 96.0 97.1 Portugal 10.6 10.3 –2.6 40.4 44.8 17.7 21.5 92.4 89.8 Czech Republic 10.4 10.6 2.4 39.3 42.3 14.6 19.2 96.0 96.8 Hungary 10.0 9.8 –2.6 39.4 42.6 16.2 18.9 90.4 91.5 Sweden 9.2 10.2 10.4 40.6 40.6 17.5 19.8 98.8 100.9 Austria 8.3 8.8 6.2 40.9 43.2 17.1 18.7 94.8 96.8 Bulgaria 7.5 7.0 –6.2 41.9 44.1 17.8 21.0 94.9 94.3 Denmark 5.5 5.8 5.5 40.2 41.8 15.6 19.3 98.1 99.0 Slovakia 5.4 5.4 1.3 36.3 40.2 12.1 15.5 94.6 95.3 Finland 5.3 5.5 3.8 41.5 42.7 16.5 21.4 96.1 97.3 Ireland 4.5 4.9 8.4 33.4 37.3 10.8 13.8 99.8 98.1 Croatia 4.3 4.1 –5.1 41.5 43.7 17.8 20.1 92.9 93.3 Lithuania 3.2 2.8 –12.4 39.6 43.9 17.0 19.6 86.2 85.8 Latvia 2.2 1.9 –11.5 39.9 43.3 17.6 20.1 85.0 85.2 Slovenia 2.0 2.1 2.6 41.0 43.8 16.3 19.4 96.3 98.8 Estonia 1.3 1.3 –1.1 39.8 42.0 17.5 19.6 86.8 89.0 Cyprus 0.8 0.9 10.6 35.4 37.5 12.4 15.9 96.1 95.2 Luxembourg 0.5 0.6 24.4 38.6 39.4 14.0 14.3 98.1 101.0 Malta 0.4 0.5 18.4 39.3 40.4 13.9 18.8 98.8 102.4 EU-28 501.2 512.9 4.1% 40.4 43.1 17.1 19.7 95.2 95.7

Structural characteristics of the EU-28 populations in 2008 and 2018

Interpretation: The seven countries with the highest figures in each column are in bold, and the seven with the lowest are in italics. The countries are listed in decreasing order of population size in mid-2018.
Coverage: EU-28.
Sources: Eurostat, authors’ calculations.

14In both France and Europe, the sex ratio varies by age (Figure 4). It is close to 105 in infancy because more boys than girls are born, reaches equilibrium at around age 45, and then falls steadily to a level well below 100 beyond age 70 due to excess male mortality at advanced ages. The imbalance at intermediate ages (more women at ages 25–39) observed in France (but not in Europe as a whole) is more difficult to interpret. Portugal and Ireland are the only other countries that follow this pattern. What is the reason for the ‘female surplus’ at these ages? In demographic terms, it might be explained by excess male mortality and/or sex-selective migration (Brutel, 2014; Wisser and Vaupel, 2014; Góis and Marques, 2018), which are specific to certain countries. Another explanation might be that more young men are omitted from the censuses, notably during periods of residential instability after leaving the parental home or separating from a partner (Toulemon, 2017). This phenomenon has been observed in several European countries (Smallwood and De Broe, 2009).

Figure 4

Sex ratios by age in France and in EU-28 on 1 January 2018

Figure 4

Sex ratios by age in France and in EU-28 on 1 January 2018

Coverage: Whole of France (including Mayotte) and EU-28.
Sources: Eurostat, authors’ calculations.

4 – One in five people aged 65 or above on 1 January 2019

15The French population is continuing to age; one-quarter of the population was aged over 60 on 1 January 2019. The proportion of over-60s is now 2.0 percentage points higher than that of the under-20s (2.6 points in metropolitan France) (Appendix Table A.2). Nonetheless, France is still a relatively young country (9th youngest in Europe), with a median age of 41.6 years on 1 January 2018, up from 39.3 years 10 years earlier (same European ranking) (Table 2). Measured in terms of median age, the population is ageing much faster in countries such as Spain (which has fallen from 8th to 20th place), Greece (18th to 20th place), and Lithuania (13th to 23rd place). The two countries at the extremes in 2018 are Ireland (37.3 years) and Italy (46.3 years), now the oldest country in Europe, ahead of Germany (46.0 years).

II – Immigration from third countries

16This section describes recent trends in immigration from so-called ‘third countries’ whose adult nationals must obtain a residence permit to live in France. [4] It does not concern inflows from the countries of the European Economic Area (EEA) [5] and Switzerland. To ensure consistency of comparisons over time, the statistics are established for constant geographical areas. We do not count people of nationalities formerly required to hold a residence permit but are now exempted. [6]

17Flows of third-country nationals arriving legally in France to establish residence in the country are estimated here from the statistics on long-term residence permits and visas valid as residence permits. They are based on data from the system used by the French Ministry of the Interior to track the status of foreigners residing in France (AGDREF) and which are transmitted annually to INED. The method developed by d’Albis and Boubtane (2015) is used to construct these flows. It applies the basic principle whereby people are counted in the flows of the year they receive their first residence permit valid for 1 year or more. [7] This is generally the same as the year of entry, although in some cases it may be later (notably because the person previously held a more short-term residence permit). It is thus the entry into permanent migrant status—i.e. longterm legal residence—that is measured, rather than physical entry into France. The inflows considered here cover the entire French territory, although large disparities are known to exist across French departments (Breton et al., 2017; d’Albis and Boubtane, 2018b).

1 – An upward trend in inflows

18Table 3 shows inflow data for the years 2012 to 2017. In 2017, 237,742 people received a residence permit, the highest number since 2000 (Appendix Table A.3). Inflows in 2016 were 9% higher than in 2016 and 32% higher than in 2012.

Table 3

Inflows of third-country nationals by first year of validity and period of validity of first residence permit of 1 year or more

Table 3
Period of permit validity 2012 2013 2014 2015 2016 2017 Less than 10 years 159,077 173,058 178,677 187,626 193,163 208,773 10 years or more 20,934 19,338 21,210 22,414 25,191 28,969 Total 180,011 192,396 199,887 210,040 218,354 237,742

Inflows of third-country nationals by first year of validity and period of validity of first residence permit of 1 year or more

Coverage: Permits granted in France and abroad to foreign nationals excluding citizens of the European Economic Area and Switzerland (constant geographical area from 2012 to 2017). Permits granted in year n and recorded in the data extracted in July of the year n + 2. Permits of less than 10 years are valid for between 364 and 3,649 days; permits of 10 years or more are valid for more than 3,649 days.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

19Among the individuals counted, the share of immigrants receiving a residence permit valid for 10 years or more remains low, at slightly above 12% in 2017. These long-term residence permits, typically a resident’s card, are generally granted after one or more permits of less than 10 years.

20Inflows of foreigners can also be estimated using other statistical sources. INSEE uses population censuses and notably a question on the previous place of residence. According to Eurostat, which disseminates INSEE data, 241,991 foreign nationals entered France in 2017. [8] This total also includes nationalities not required to hold a residence permit (i.e. EEA countries and Switzerland) and, potentially, undocumented third-country immigrants. Applying the same geographical scope as that of Table 3 brings the total down to 163,235, a figure well below that obtained from the AGDREF database. The Eurostat underestimation is difficult to explain because no information is available on the method used to construct the series. Students may have been excluded, even if they stay in France for more than a year.

2 – Women no longer account for the majority of incoming foreigners

21Recent immigrants are young. People aged 18–34 accounted for 64.5% of all arrivals and 71.9% of adult arrivals in 2017 (Table 4). The share of minors is stable at 10.3%. Only minors receiving a residence permit are counted. [9] Foreign minors do not have to hold a residence permit but may need to obtain one if, for example, they wish to travel outside France. Minors born in France to foreign parents are not counted in the inflows. The first row of Table 4 thus only includes minors born abroad who hold a residence permit.

Table 4

Distribution (%) of inflows by age group, by first year of validity of first residence permit of 1 year or more

Table 4
Age group 2012 2013 2014 2015 2016 2017 0–17 years 9.7 9.5 10.3 10.2 10.3 10.3 18–34 years 64.4 62.8 62.2 62.5 63.1 64.5 35–64 years 24.4 26.2 25.7 25.5 24.9 23.7 65+ years 1.5 1.5 1.7 1.7 1.8 1.6

Distribution (%) of inflows by age group, by first year of validity of first residence permit of 1 year or more

Coverage: See Table 3.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

22Figure 5 gives a more detailed representation of the age-sex distribution of flows in 2017. The peak at age 18 is explained by individuals who arrived as minors and who waited until age 18 to apply for a residence permit. Students also contribute to the large share of young people in the distribution. The distributions of women and men are similar overall, although the male distribution is more markedly bimodal. The mean age at entry into France is 29.1 years for women and 28.4 years for men.

Figure 5

Distribution of inflows by age and sex in 2017

Figure 5

Distribution of inflows by age and sex in 2017

Coverage: See Table 3.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

23Most incoming migrants (excluding those from the EEA and Switzerland) are African nationals. They accounted for 58.4% of the total in 2017, the highest percentage since 2012 (Table 5). The share of arrivals from Asia continued to increase slightly in 2017, while that of arrivals from Africa and America decreased.

Table 5

Distribution (%) of inflows by continent of origin, by first year of validity of first residence permit of 1 year or more

Table 5
Continent of origin 2012 2013 2014 2015 2016 2017 Africa 57.0 57.0 58.0 58.2 57.8 58.4 America 11.5 10.8 10.5 10.4 9.4 8.9 Asia 24.5 25.3 24.5 24.4 25.6 25.8 Europe 6.3 6.2 6.3 6.3 6.7 6.3 Oceania 0.4 0.4 0.4 0.4 0.4 0.4

Distribution (%) of inflows by continent of origin, by first year of validity of first residence permit of 1 year or more

Coverage: See Table 3. Turkey is included in Asia. Europe includes all European countries outside the EEA and Switzerland. The total does not necessarily sum to 100 due to rounding and missing values.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

24Women no longer account for the majority of inflows, and they represented only 48.9% of total entries in 2017. This is a sharp drop from the peak reached in 2014 (Table 6). In 2017, there were fewer women than men among inflows from Africa and Asia. They formed a majority among inflows from all other continents, however, especially from the Americas and Europe.

Table 6

Share of women (%) in inflows by continent of origin, by first year of validity of the first residence permit of 1 year or more

Table 6
Continent of origin 2012 2013 2014 2015 2016 2017 Africa 49.0 49.2 49.9 49.3 48.3 46.7 America 58.3 58.3 57.7 56.7 57.3 58.1 Asia 54.7 54.1 53.8 53.0 51.3 48.5 Europe 60.4 60.4 60.2 60.0 58.6 58.1 Oceania 52.4 55.4 50.1 52.7 53.5 54.8 Overall 52.2 52.2 52.3 51.6 50.6 48.9

Share of women (%) in inflows by continent of origin, by first year of validity of the first residence permit of 1 year or more

Coverage: See Tables 3 and 5.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

3 – A sharp decrease in the share of admissions for family reasons

25In 2017, 107,405 people were admitted to France for family reasons [10]—still the main reason for admission. In absolute terms, the level is equivalent to that of 2013, but the relative contribution of these admissions to total inflows has fallen sharply since then. They represented 45.2% of inflows in 2017, a share that dropped almost 4 percentage points in 1 year, while the shares of admissions for educational (26.8%), humanitarian (15.2%), and employment-related reasons (8.8%) increased (Table 7). Admissions for humanitarian reasons mainly concern two types of immigrants: foreigners who are ill (3,898 people in 2017) or admitted as refugees, stateless persons, or beneficiaries of territorial asylum or subsidiary protection (32,111 people). [11] After increasing by more than 40% in 2016, the number of residence permits granted for this second set of reasons rose again by almost 50% in 2017. This reflects the increase in asylum applications received since 2014 (d’Albis and Boubtane, 2018a). Among people admitted for employment-related reasons (20,967 in 2017), almost 67% are wage employees or self-employed. The remainder are seasonal or temporary workers, scientists, and artists.

26The decrease in the share of women entering France in 2017 mainly concerns those entering for humanitarian reasons. In 2017, women represented 36.8% of inflows for this reason, compared with 41.3% the previous year (Table 8). Women are still over-represented among immigrants admitted for family reasons and under-represented among those admitted for humanitarian and, above all, employment reasons. Among students, women are slightly outnumbered by men.

Table 7

Distribution (%) of inflows by reason for granting first residence permit valid for 1 year or more, by first year of permit validity

Table 7
Reason for admission 2012 2013 2014 2015 2016 2017 Family 55.5 56.1 55.0 52.7 49.0 45.2 Education 23.8 24.0 23.8 25.3 25.9 26.8 Humanitarian 9.7 8.9 9.9 10.2 12.7 15.2 including refugee 6.1 5.6 6.4 7.2 9.8 13.5 Employment 6.6 6.7 7.2 7.7 8.1 8.8 Various and unspecified 4.5 4.4 4.2 4.2 4.3 4.0

Distribution (%) of inflows by reason for granting first residence permit valid for 1 year or more, by first year of permit validity

Coverage: See Table 3. The ‘refugee’ line covers permits granted on the following grounds: ‘refugee and stateless, territorial asylum and subsidiary protection’.
Source: Authors’ calculations based on AGDREF data transmitted to INED.
Table 8

Share of women (%) in inflows by reason for granting first residence permit valid for 1 year or more, by first year of permit validity

Table 8
Reason for admission 2012 2013 2014 2015 2016 2017 Family 57.3 57.1 58.3 58.1 58.0 58.5 Education 51.1 50.4 50.0 49.0 49.4 48.1 Humanitarian 43.5 44.1 44.8 44.6 41.3 36.8 Employment 23.5 24.9 23.1 24.8 23.6 24.2 Overall 52.2 52.2 52.3 51.6 50.6 48.9

Share of women (%) in inflows by reason for granting first residence permit valid for 1 year or more, by first year of permit validity

Coverage: See Table 3.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

27Reasons for admission are distributed differently from one continent of origin to another (Table 9), with family reasons still taking first place for immigrants from all continents. Admissions for this reason are over-represented among Africans (51% of permits in 2017 compared with 45.2% on average) and Europeans (51.6%), and under-represented among Asians (30.8%). Educational reasons are over-represented among Asians (28.2% vs. 26.8% on average) and Americans (30.4%) and under-represented among Europeans (11.1%). Humanitarian reasons account for a large share of permits granted to Asians and to Europeans (25.3% vs. 15.2% on average) mainly nationals from Russia, Kosovo, and Albania. The share is very small among Americans (3.5%), for whom employment-related reasons are over-represented (12.8% vs. 8.8% on average).

28Among migrants from Africa, the share of admissions for family reasons in 2017 continued to decrease in favour of other reasons. Among migrants from America, the ongoing decrease in admissions for family reasons is counterbalanced by an increase in admissions for education and employment reasons. Since 2013, the share of Asians migrating to France for family and educational reasons has fallen in favour of humanitarian reasons, due notably to the war in Syria. Last, since 2013, European migration has increased for humanitarian reasons while falling for educational and family reasons.

Table 9

Distribution of inflows by reason for granting first residence permit valid for 1 year or more, continent of origin, and first year of permit validity (numbers and percentages)

Table 9
Continent of origin and reason 2012 2013 2014 2015 2016 2017 for admission Africa Family 66,486 70,654 73,586 74,871 70,746 70,912 Education 19,810 22,067 23,416 27,858 31,321 38,288 Humanitarian 8,017 8,081 9,275 9,115 12,210 15,373 Employment 4,996 5,608 6,405 6,919 8,096 10,236 Africa (%) Family 64.8 64.4 63.5 61.2 56.1 51.0 Education 19.3 20.1 20.2 22.8 24.8 27.6 Humanitarian 7.8 7.4 8.0 7.5 9.7 11.1 Employment 4.9 5.1 5.5 5.7 6.4 7.4 America Family 9,914 10,175 10,367 10,017 9,327 9,348 Education 5,920 5,933 6,062 6,504 6,113 6,427 Humanitarian 591 493 425 419 452 736 Employment 2,190 2,138 2,193 2,921 2,513 2,716 America (%) Family 48.0 49.1 49.4 45.9 45.6 44.2 Education 28.7 28.6 28.9 29.8 29.9 30.4 Humanitarian 2.9 2.4 2.0 1.9 2.2 3.5 Employment 10.6 10.3 10.5 13.4 12.3 12.8 Asia Family 17,200 19,860 18,539 18,129 18,679 18,855 Education 15,226 16,304 16,321 16,834 17,261 17,291 Humanitarian 5,828 6,077 7,183 8,799 11,268 16,038 Employment 3,616 4,140 4,682 5,241 6,050 6,803 Asia (%) Family 39.0 40.7 37.8 35.3 33.4 30.8 Education 34.6 33.4 33.3 32.8 30.9 28.2 Humanitarian 13.2 12.5 14.6 17.2 20.2 26.2 Employment 8.2 8.5 9.5 10.2 10.8 11.1 Europe Family 5,761 6,602 6,747 7,095 7,603 7,752 Education 1,682 1,657 1,627 1,743 1,685 1,674 Humanitarian 2,705 2,205 2,668 2,830 3,631 3,804 Employment 761 865 801 856 888 966 Europe (%) Family 50.5 55.3 53.8 53.5 52.3 51.6 Education 14.7 13.9 13.0 13.1 11.6 11.1 Humanitarian 23.7 18.5 21.3 21.3 25.0 25.3 Employment 6.7 7.2 6.4 6.5 6.1 6.4

Distribution of inflows by reason for granting first residence permit valid for 1 year or more, continent of origin, and first year of permit validity (numbers and percentages)

Coverage: See Table 3.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

4 – Over 46,000 asylum seekers admitted for residence in 2017

29Asylum seekers may be admitted for residence in France (i.e. receive a residence permit of 1 year or more) in several ways. If their application is accepted, they obtain a permit on humanitarian grounds and are counted in the fourth row of Table 7. Some of those whose application is rejected are admitted for residence on different grounds, most often for family reasons. The rates of admission for residence by submission date of the asylum application are given in d’Albis and Boubtane (2018a). The perspective here is different. Table 10 shows the annual inflows of people having submitted an asylum application to the French Office for the Protection of Refugees and Stateless Persons (OFPRA). They totalled 46,174 in 2017 and represented 19.4% of overall inflows. The number of asylum seekers admitted for residence and their share of overall flows were at their highest levels since 2012. Asylum seekers are not admitted solely on humanitarian grounds, so the total number of admissions is higher than the number admitted for this reason alone; 24.2% were admitted for family reasons in 2017. The share of women among incoming asylum seekers is lower than among overall inflows; they represented 36.6% of the total in 2017, down sharply from previous years. Since 2013, the largest share of incoming asylum seekers has been of Asian origin, representing more than 45% of the total in 2017. Africans accounted for 38%.

Table 10

Inflows of asylum seekers by first year of validity of first residence permit valid for 1 year or more

Table 10
2012 2013 2014 2015 2016 2017 Inflows 22,169 25,132 25,703 27,507 35,262 46,174 Share of women (%) 39.7 40.7 41.5 41.1 39.7 36.6 Continent of origin (%) Africa 41.1 37.8 37.9 35.9 36.9 38.2 America 4.9 5.2 4.7 4.1 3.0 2.8 Asia 36.6 41.6 41.4 44.0 43.9 45.5 Europe 15.7 13.8 14.5 14.9 15.3 12.9 Reason for admission (%) Family 36.8 45.1 38.1 33.1 28.7 24.2 Education 0.5 0.5 0.6 0.5 0.3 0.3 Humanitarian 57.3 48.4 54.4 59.5 64.3 70.1 Employment 4.7 5.3 6.2 6.2 6.3 5.1

Inflows of asylum seekers by first year of validity of first residence permit valid for 1 year or more

Coverage: Permits granted in France and abroad to foreign nationals who applied for asylum between 1985 and the first year of validity of the first residence permit valid for one year or more. Permits granted in year n and recorded in the data extracted in July of the year n + 2.
Source: Authors’ calculations based on AGDREF data transmitted to INED.

5 – Major differences across the European Union

30Immigration flows vary substantially across the 28 European Union member countries. They can be compared using Eurostat data (see note 8). In 2017, immigrants entering the 28 EU countries numbered 3,371,290. This figure includes Europeans, so it is higher than the flow of third-country foreigners entering the European Union. Figure 6 gives the share of each country in this total. France is the fifth receiving country behind Germany, the United Kingdom, Spain, and Italy. These four countries received almost 63% of the total number of immigrants to the European Union in 2017.

Figure 6

Share (%) of total immigration flows received by each European Union member country in 2017

Figure 6

Share (%) of total immigration flows received by each European Union member country in 2017

Source: Authors’ calculations based on Eurostat data.

31The share of total flows received by each country has changed since 2012. The shares admitted by the five main receiving countries between 2012 and 2017 are given in Table 11. Inflows to Germany peaked in 2015 when the country admitted large numbers of asylum seekers, mainly from Syria. Numbers have since returned to the level of 2013. Conversely, a sharp increase is observed for Spain and, to a lesser extent, Italy and the United Kingdom.

Table 11

Share (%) of total migration inflows admitted by the main receiving countries, by year

Table 11
Receiving country 2012 2013 2014 2015 2016 2017 Germany 20.6 23.7 27.4 38.4 27.4 23.5 United Kingdom 17.0 17.5 19.0 14.5 15.4 16.7 Spain 11.1 9.7 9.1 7.7 10.5 13.5 Italy 13.1 10.9 8.6 6.6 7.8 8.9 France 8.6 8.5 7.4 6.2 7.2 7.2

Share (%) of total migration inflows admitted by the main receiving countries, by year

Source: Authors’ calculations based Eurostat data.

32The country rankings are very different, however, when migration flows are expressed as a proportion of each country’s population (on 1 January of the year in question). In 2017, six countries (Malta, Luxembourg, Cyprus, Sweden, Austria, and Ireland) had immigration rates above 1%, while 12 countries, including France, had rates below 0.5% (Figure 7).

Figure 7

Immigration rates (%) to European Union member countries in 2017

Figure 7

Immigration rates (%) to European Union member countries in 2017

Source: Authors’ calculations based on Eurostat data.

33Between 2012 and 2017, immigration rates increased most notably in Estonia (+725%), Lithuania (+333%), and Portugal (+218%), while they decreased in Belgium (−8%), Italy (−8%), and Poland (−6%). Figure 8 shows the mean annual growth in immigration rates for the 28 EU countries.

III – Births and fertility

1 – A slower decline in period fertility

34Births have declined continuously over the last 8 years, and estimates for the first 5 months of 2019 do not suggest a trend reversal, although levels have somewhat stabilized (Figure 9). [12] For the 4th year in a row, this steady downtrend has been accompanied by a slight drop in the total fertility rate (TFR), which now stands at 1.87 children per woman for the whole of France versus 1.89 in 2017 (1.84 for metropolitan France alone) and 1.86 in 2016 (Appendix Table A.4) (Robert-Bobée and Volant, 2018). The year 2018 was thus marked by a slower decline in births and fertility. Between 2017 and 2018, fertility rates over age 35 increased slightly after 3 years of stability, but the rise was insufficient to offset the uninterrupted decline observed at ages 20–29 since at least 2013 (Table 12).

Figure 8

Mean (%) of annual rates of growth in immigration rates in European Union member countries between 2012 and 2017

Figure 8

Mean (%) of annual rates of growth in immigration rates in European Union member countries between 2012 and 2017

Source: Authors’ calculations based on Eurostat data.
Figure 9

Monthly birth numbers from January 2011 to May 2019

Figure 9

Monthly birth numbers from January 2011 to May 2019

Interpretation: The moving averages are calculated over 5 months. The value for March 2019 (green curve) thus corresponds to the mean of the months from January to May 2019.
Coverage: Whole of France.
Sources: INSEE, time series.
Table 12

Fertility by age group from 2013 to 2018

Table 12
Age Sum of age-specific rates (per 1,000 women) Absolute variation* reached 2013 2014 2015 2016 2017 2013 2014 2015 2016 (p) 2017 (p) 2018 (p) – – – – – in the year 2014 2015 2016 2017 2018 Under 20 38 37 35 32 30 29 –1 –2 –3 –2 –1 20–24 257 252 241 232 224 215 –5 –12 –9 –8 –10 25–29 618 612 592 575 559 545 –6 –20 –17 –16 –14 30–34 650 658 648 645 638 636 8 –9 –4 –6 –2 35–39 338 347 347 345 345 348 9 0 –2 0 3 40–44 82 87 87 89 92 94 5 0 2 3 2 45+ 5 6 6 6 6 7 1 0 0 1 0 Total (TFR*) 1,988 1,999 1,955 1,924 1,895 1,873 11 –43 –32 –29 –22

Fertility by age group from 2013 to 2018

* Total fertility rate (sum of age-specific fertility rates), expressed as a mean number of children per 1,000 women. Due to rounding, the total may differ slightly from the sum, and the variations may not correspond exactly to apparent differences.
(p): Provisional data.
Coverage: Whole of France (including Mayotte since 2014).
Source: INSEE, authors’ calculations.

35Between 2007 and 2017, [13] the curve of age-specific fertility in France shifted slightly to the right (postponement) and slightly downward (lower fertility), but its overall profile changed little. There is an identical trend towards later childbearing across all EU-28 countries. However, except for France, the increase in fertility at later ages largely offsets the decrease at younger ages (Figure 10). As a result, the European TFR remained stable between 2007 and 2017 while falling slightly in France (Table 13).

36The mean age at childbearing in France was 30.6 years in 2018 (30.7 years in metropolitan France), setting an all-time record. However, this is still well below the values observed in Southern Europe and Ireland, where the mean age is close to or over 32.0 years (Table 13).

37Why has the French TFR declined recently? The downtrend may reflect a decrease in fertility among the cohorts of reproductive age but also a postponement of childbearing to later ages. Over the 30-year period between 1975 and 2006, the TFR often fell below 2.0 children per woman—with a minimum in 1993 (1.66 children per woman)—while cohort fertility remained stable at around 2.0 children per woman. This inconsistency is explained by a steady increase in the age at childbearing (mainly at first birth), which rose by more than 3 years over the period. The decline in the TFR observed since 2010, which has accelerated in the last 4 years, may or may not be followed by a renewed increase. This will depend on whether later childbearing is also accompanied by a decrease in fertility intensity.

Figure 10

Age-specific fertility rates in France and in EU-28 countries, 2007 and 2017

Figure 10

Age-specific fertility rates in France and in EU-28 countries, 2007 and 2017

Coverage: Whole of France / EU-28.
Source: Eurostat.

2 – France is still a European ‘outlier’

38Since 2011, the TFR in France has been the highest in Europe, ahead of Ireland and Iceland (if we look beyond the EU-28 countries), two countries where fertility was traditionally higher than in France. But with the gradual convergence of period fertility levels across Europe, [14] France was less of a European outlier in 2017 than 10 years earlier. The TFR has risen most notably in countries where fertility was low (the Baltic States and certain countries of Eastern Europe: Hungary, Lithuania, Poland, and Slovakia; and of Western Europe: Germany, Austria, and Portugal). At the same time, it has fallen in all countries where it exceeded 1.6 children per woman (Table 13). France has joined the group of Northern and Western European countries (Belgium, Denmark, Ireland, United Kingdom, and Sweden) characterized by a high TFR and mean age at childbearing. In the countries of Southern Europe (Greece, Italy, and Spain), mean ages at childbearing are similar to those observed in the North and West, but period fertility is low, at close to 1.3 children per woman.

Table 13

Fertility indicators of the EU-28 countries in 2007 and 2017

Table 13
Country Total fertility rate Mean age Mean age at first birth Proportion of births outside marriage 2007 2017 2007 2017 2007 2017 2007 2017 France 1.98 1.87 29.8 30.5 — 28.7 51.7 59.9 Sweden 1.88 1.78 30.6 31.1 28.8 29.3 54.8 54.5 Ireland 2.01 1.77 31.3 32.1 28.8 30.3 33.1 37.6 Denmark 1.84 1.75 30.4 31.1 — 29.4 46.1 54.2 United Kingdom 1.86 1.74 29.3 30.5 — 28.9 44.4 48.2 Romania 1.45 1.71 26.8 27.9 25.0 26.5 26.7 31.2 Latvia 1.54 1.69 27.9 29.7 25.2 26.9 43.2 40.4 Czech Republic 1.45 1.69 29.1 30.0 27.1 28.2 34.5 49.0 Belgium 1.82 1.65 29.5 30.6 27.8 29.0 43.2 49.0 (a) Lithuania 1.36 1.63 27.8 29.8 25.3 27.5 27.8 26.7 Netherlands 1.72 1.62 30.6 31.4 29.0 29.9 39.5 51.0 Slovenia 1.38 1.62 29.8 30.3 28.1 28.8 50.8 57.5 Estonia 1.69 1.59 28.4 30.4 25.3 27.7 57.8 58.6 Germany 1.37 1.57 29.9 31.0 — 29.6 30.8 34.7 Bulgaria 1.49 1.56 26.4 27.6 25.0 26.1 50.2 58.9 Hungary 1.32 1.54 28.8 29.8 27.1 28.0 37.5 44.7 Austria 1.38 1.52 29.4 30.7 27.7 29.3 38.3 42.0 Slovakia 1.27 1.52 28.1 28.8 26.2 27.1 28.8 40.1 Finland 1.83 1.49 30.0 30.9 28.1 29.1 40.6 44.8 Poland 1.31 1.48 28.4 29.5 26.0 27.3 19.5 24.1 Croatia 1.48 1.42 28.6 30.3 26.7 28.6 11.5 19.9 Luxembourg 1.61 1.39 30.2 31.9 28.9 30.8 29.2 40.8 Portugal 1.35 1.38 29.4 31.2 27.6 29.6 33.6 54.9 Greece 1.41 1.35 30.1 31.4 28.8 30.4 5.8 10.3 Cyprus 1.44 1.32 30.0 31.4 28.2 29.7 8.7 20.3 Italy 1.40 1.32 31.0 31.9 — 31.1 17.9 32.8 Spain 1.38 1.31 30.8 32.1 29.4 30.9 30.2 46.8 Malta 1.35 1.26 29.1 30.5 26.9 29.0 24.9 25.9 (b) European Union (28) 1.6 1.6 29.7 30.7 — 29.1 35.1 41.1 (b) Coefficient of variation (%) 14.4 10.6 4.1 3.6 5.2 4.5 39.1 31.9

Fertility indicators of the EU-28 countries in 2007 and 2017

(a) 2016
(b) 2013
Interpretation: The seven countries with the highest figures in each column are in bold and the seven with the lowest are in italics.
The countries are ranked in decreasing order of TFR in 2017.
The coefficient of variation is a measure of dispersion. It is the ratio between the standard deviation and the mean value of the indicator. The higher the coefficient of variation, the greater the dispersion between countries.
Coverage: EU-28.
Sources: Eurostat.

3 – Women born in 1980 will have a completed fertility of more than 2.0 children per woman

39Using data available in 2017, a reliable estimate of completed fertility can be obtained up to the 1980 birth cohort, aged 37 in that year. Beyond that age, the contribution to completed fertility remains marginal, although it has been increasing almost universally since the mid-1990s after more than 4 decades of decline (Beaujouan and Sobotka, 2019). [15] Our estimates are based on two assumptions: stable fertility of women aged 40–44 and 45–49 after 2017, and a continuation of the trend in age-specific rates observed between 2012 and 2017. Under both scenarios, women born in 1980 will doubtless have more than 2.0 children on average in France (Appendix Table A.5). Applying this same logic to women born in the 1990s is more risky (they were only 27 years old in 2017), but even under a pessimistic fertility scenario, [16] their completed fertility should be equal to or above 1.95 children per woman and more probably 2.0 children.

40Alongside Ireland, France is the only EU-28 country where the cohort of women born in 1980 will have more than 2.0 children per woman. In all countries, however, completed fertility will be equal to or above the TFR of 2012 (Figure 11, all countries are below the bisector). [17] The effect of birth postponement on the low levels of period fertility is real. In most countries, notably those of Southern Europe, completed fertility will nonetheless be well below cohort replacement level.

Figure 11

Completed fertility of the 1980 cohort (estimate) and TFR of the 28 EU countries in 2012

Figure 11

Completed fertility of the 1980 cohort (estimate) and TFR of the 28 EU countries in 2012

Interpretation: By the end of their reproductive lives, French women born in 1980 will have 2.07 children on average, and a woman who behaves throughout her childbearing years like the women of 2012 will have 2.0 children on average.
Coverage: EU-28, excluding Latvia and Croatia.
Sources: Eurostat, authors’ calculations.

4 – A growing share of childless women?

41Some authors have recently described five combinations of fertility by birth order associated with a low fertility level of 1.6 children per woman: a reference model; [18] a high childlessness model; a model with a large share of only children; a fourth model where families with more than two children are rare; and a last model polarized between childless couples and families with three or more children (Zeman et al., 2018). Most European countries correspond to one of these models, but not France, which is close to the reference model but with a higher probability of having at least one child (0.85 vs. 0.80), a second child after the first (0.80 vs. 0.72), and a third child after the second (0.40 vs. 0.30). [19] Cohort fertility in France remains close to replacement level (2.1 children per woman) due to low levels of childlessness and more frequent third births than elsewhere (Breton and Prioux, 2005, 2009; Frejka, 2008; Toulemon et al., 2008; Ayerbe and Breton, 2015; Beaujouan et al., 2017).

42Should the decreasing TFR observed in France be considered the end of an atypical model within Europe? To answer this question, recent data on births by order are needed. Unfortunately, for historical reasons, birth order is not recorded accurately, as births were registered by order within the union and not by biological order (Breton and Prioux, 2009), even though all the mother’s live-born children must be mentioned on the birth certificate. [20] Nevertheless, we can estimate order-specific fertility by applying the ‘own children’ method to data from the annual census surveys. This method is used by INSEE to populate the Eurostat database (Desplanques, 2008; Davie and Niels, 2012). We have extended the results presented in the 2012 article on demographic developments (Prioux and Barbieri, 2012) up to the year 2016 (Figure 12A). The decrease in the TFR is attributable mainly to a decline in the first-order component (mean number of first births), which fell from 0.89 in 2010 to 0.80 in 2016 (65% of the decrease in the TFR). The second-order component (mean number of second births) fell from 0.71 to 0.67 and that of third and higher births from 0.41 to 0.40. The sharp drop in the first-order component may signal not only an increase in cohort childlessness but also a continued trend towards ever-later first childbearing. This second hypothesis is a reality: the age at first birth (measured using the same method) would be 28.7 years for a cohort that behaved in the same way as women in 2016 throughout their reproductive lives versus 28.1 years in 2010 (Figure 12B).

Figure 12

Decomposition of the TFR by birth order (A) and mean age at childbearing by birth order (B), 1970–2017

Figure 12

Decomposition of the TFR by birth order (A) and mean age at childbearing by birth order (B), 1970–2017

Coverage: Metropolitan France.
Sources: Davie and Niel (2012), Table 3, page 31; Tomkinson and Breton (in preparation).

43First-birth postponement has a mechanical impact on age at birth of higher-order children. This trend towards later childbearing cannot continue indefinitely, however, as the risk of infecundity increases sharply beyond age 30. Indeed, very few countries in Europe have a mean age at first childbirth of 30 years or higher (Greece, Ireland, Italy, Luxembourg, and Spain; Table 13). That said, it is sometimes difficult to predict changes linked to societal factors, such as assisted reproductive technology. Age at childbearing may also increase if women are allowed to freeze their eggs and men to freeze their sperm for non-medical reasons. This possibility was included in the bioethics bill debated by the French National Assembly in 2019.

5 – Almost 1 in 4 children born to foreign parents

44A recent analysis based on various data sources, including the census, has revealed the small but growing contribution of immigrant women to French births. In 2017, in France (excluding Mayotte), 18.8% of births were to immigrant mothers (born as foreigners outside France) versus 16% in 2009, but only 0.1 point of the TFR is linked to higher fertility of immigrant women (Volant et al., 2019). Older studies measured the same tendency before 2005, taking as reference births not to immigrant women but to foreign women (Prioux, 2006a; Héran and Pison, 2007). Under this definition, the proportion of children born between 2009 and 2017 to at least one foreign parent rose from 20.3% to 23.8% [21] (of which 34% and 40%, respectively, were born to a mixed-nationality couple).

6 – More non-marital births, but most still take the father’s name

45In 2018, 60.3% of births occurred outside marriage. This percentage has been increasing steadily since the 1970s, and while fewer than half of children are now born to married parents, the proportion recognized by their father is not decreasing (Pison, 2018). France is the European country with the highest share of non-marital births (Table 13), overtaking the countries of Northern Europe that initiated this trend (Avdeev et al., 2011). Marriage as a prerequisite for childbearing is no longer the norm in France, and decreasingly so in Europe where the correlation between marriage and birth has practically disappeared (r² = 0.20 in 2017 vs. 0.28 in 2007).

46Another social gender norm persists: that of giving the child the father’s surname. Before 2005, it was a legal requirement for children to take their father’s name or (very rarely) that of their mother if the father did not recognize the child. Since 2005, parents have been free to give the father’s or mother’s name only, the mother’s name followed by the father’s, or vice-versa, in accordance with precise legal rules (Mazuy et al., 2013). Between 2012 and 2018, [22] the situation changed very slowly. Slightly more than 11% of children born in 2018 received the names of both their father and mother (vs. 9% in 2012), and 82.5% their father’s name only (vs. 83.0% in 2012). Among children born outside marriage, the proportion receiving their father’s name only (74.4%) has remained practically stable since 2012. In 2015, 14.4% of these children had a double name compared with 4.5% of children born to a married couple. The proportion also varies by the mother’s nationality and the department of birth, with more double names in the south-west of France and the Pyrénées orientales, for example (Bellamy, 2015).

IV – Induced abortion

1 – Increase in induced abortions in 2018

47For the whole of France, the number of induced abortions increased to 224,300 in 2018, up from 217,800 in 2017 (Vilain, 2019), while remaining below the levels recorded in 2014 (227,038) and 2013 (229,021). In metropolitan France, the total was 209,500 (Appendix Table A.8). Expressed as a number of induced abortions per 1,000 women aged 15–49, the figure rose from 14.8 in 2017 to 15.5 in 2018 for the whole of France (from 14.4 to 15.0 in metropolitan France). The total abortion rate (mean number of abortions per woman) also rose slightly to 0.56 (Mazuy et al., 2015). These various indicators all point to a rise in induced abortion in 2018.

48This increase is observed especially for women aged 25 and older (Figure 13). Among the youngest women, notably the under-20s, a continued downward trend reflects the increase in age at childbearing and a high level of contraceptive coverage; only a small minority of sexually active women below age 25 do not use any form of contraception (Rahib et al., 2017). Geographically, while recourse to abortion varies considerably across regions (Breton et al., 2017; Vilain, 2018, 2019), it is increasing everywhere, including in the overseas departments and in regions where abortion is least frequent, such as Pays de la Loire, where practitioners are also scarce.

Figure 13

Induced abortions per 1,000 women by age group, 1990–2018

Figure 13

Induced abortions per 1,000 women by age group, 1990–2018

Coverage: Whole of France.
Source: Vilain (2018, 2019).

49This slight increase coincides with a decline in fertility in 2018, although the decrease is smaller than in the 2 preceding years (see below). A new survey is needed to shed light on these contrasting trends in annual fertility rates and in abortions, which are doubtless multifactorial: fewer births at young maternal ages, concentration of births around age 30, a halt in the trend towards ever-later childbearing, changes in sexual and contraceptive behaviour, increasing economic insecurity, etc.

2 – Abortion in the European Union

50Most countries of the European Union have decriminalized, legalized, and/or lifted restrictions on access to abortion (Figure 14). The majority have enacted laws authorizing abortion on request, most often within a legal limit of 12 weeks of amenorrhoea (these limits range between 10 and 24 weeks). Abortion became legal only recently in Luxembourg (22 December 2014), Cyprus (March 2018) and Ireland (13 December 2018). In other countries, access is restricted. On 9 July 2019, the British parliament (in the absence of the Northern Ireland Assembly) voted amendments that included a law extending abortion rights in Northern Ireland. They were enacted by the House of Lords on 22 October 2019 without the local executive power. Access should be effective April 2020. In Finland, abortion on request is not strictly recognized under law, but in practice it is available to all women. Access to abortion in Poland is restricted to cases of danger to the mother’s health, foetal malformation, or rape. Malta is the only country where it is totally prohibited.

Figure 14

Abortion rights in the countries of the European Union

Figure 14

Abortion rights in the countries of the European Union

Source: Council of Europe (all EU countries, updated 27 August 2019).

51Governments make regular attempts to limit access to abortion (through stricter conditions for health insurance reimbursement, specific restrictions for minors, bills to reverse the liberalization of abortion on request), as was the case in Spain in 2015. The Spanish government finally withdrew its bill while making abortion for minors conditional upon parental consent. The conscience clause evoked by physicians who refuse to perform abortions [23] and the lack of appropriate training are major obstacles to the availability of induced abortion. The situation in Italy is especially problematic in this respect. Provision has become so limited in certain regions that many women are forced to travel elsewhere in the country or abroad to access abortion.

52The abortion rates in EU countries are at an intermediate level with respect to other world regions. They are above those observed in North America and Oceania but below those of Africa, Latin America, and the Caribbean, where rates are highest (Rossier, 2014; Sedgh et al., 2016; Guillaume and Rossier, 2018). In Europe, rates fell from 48 to 27 abortions per 1,000 women between 1995 and 2008. They also fell elsewhere in the world over this same period, from 33 to 28 per 1,000 in Africa and Asia and from 37 to 32 per 1,000 in Latin America.

53According to data published by Eurostat (non-exhaustive) [24] and national statistical offices, rates are lowest in Germany, certain Eastern European countries and the Balkans (Latvia, Lithuania, Poland, Czech Republic, Slovakia, and Slovenia), Finland, and the countries of Southern Europe (below 8 per 1,000). They are slightly higher, at close to 10 per 1,000, in Belgium, the Netherlands, Iceland, Hungary and Romania, and higher still in France, Bulgaria, and England and Wales.

54Overall abortion rates vary widely within the European Union, but they have fallen substantially since the 1990s thanks to the easing of abortion restrictions and growing contraceptive uptake.

55Rates can thus be correlated with contraceptive coverage, overall fertility, and conditions of access to abortion. Low rates may reflect a situation where abortion is restricted and highly stigmatized. For example, rates are intermediate or low in countries where abortion is legal but where the influence of religion is strong, such as Italy and Poland. The patterns observed in Eastern European countries are linked to their history of regime change; in Poland, abortion was legalized in 1956, then banned once again in 1993. Besides the legal barriers to abortion in some countries, practical access is not necessarily guaranteed, and the abortion services available to women do not always cover their diverse range of needs. Multiple obstacles may stand in the way of women seeking a safe abortion. These include a lack of accessible medical services at the local level; a conscience clause that reduces the number of available physicians; cost; worries about anonymity; [25] lack of provision for late abortions; a shortage of trained professionals, etc. (Guillaume and Rossier, 2018). France is no exception, with a shortage of practitioners in some regions, severe bottlenecks at certain times of year (in the summer months especially), and the closure of family-planning centres (Commission IVG, 2016).

56Yet legal and safe abortion is positively correlated with a lower mortality risk. The issues of legalization and quality of coverage are key to ensuring women’s sexual and reproductive health (WHO, 2012; Council of Europe, 2017).

3 – Improving provision

57New channels for providing non-hospital sexual and reproductive healthcare are developing in France and elsewhere, providing a means to extend abortion services or to complement existing provision in regions where it is poor or inadequate. [26] For example, web-based telemedicine can provide access to abortion pills for women living in areas where services and practitioners are lacking. [27] It also gives women greater independence in their reproductive health choices and practices (Aiken et al., 2016; Sheldon, 2016).

58In France, midwives can now perform medical abortions under a decree published in 2016 (Decree of 2 June 2016 on the capacity of midwives to perform medical abortions). In 2018, 248 midwives performed medical abortions in France. They represented 12% of all non-hospital practitioners who have performed such procedures (Vilain, 2019). Only early abortions are covered by these forms of non-hospital care, however; they cannot make up for the shortage of services for later abortions. The proportion of midwives who perform abortions will probably increase over time (especially with the rising share of medical abortions, which accounted for 69% of all abortions in 2018), and their legal scope of competence may be broadened in the future to include surgical abortions. In late September 2019, the French Ministry of Health announced its intention to extend authorization for midwives to perform surgical abortions (from the first quarter of 2020) and included abortion services among hospital evaluation criteria. The question of specialist training remains crucial. Belgium, for example, announced in August 2019 that abortion procedures are to be included in the training curriculum for medical students.

V – Marriages, civil and consensual unions, and divorces

1 – Registered unions

Marriages nearing a record low, PACS unions close to peak numbers

59In 2017, 233,915 marriages and 193,950 PACS unions [28] were registered in France, a ratio of around 4 PACS per 5 marriages. Despite the opening of marriage to same-sex couples in 2013, [29] the number of marriages was close to its record low (232,725 marriages in 2016), while the number of PACS reached the second-highest level ever attained, after the peak of 205,000 in 2010 (Figure 15). [30] Compared with 2016, the number of marriages increased by 0.5% (+1,190), and PACS unions rose slightly more, by 1.3% (+2,413).

60According to provisional data, the 235,000 marriages in 2018 (Papon and Beaumel, 2019) signal a potential continuation of the ongoing slight uptrend. The number of PACS registrations in 2018 is not yet known. As of 1 November 2017, PACS unions are now registered and dissolved in municipal registry offices and no longer in magistrates’ courts, as had been the case since 1999. [31] Subject to confirmation of initial data published by the Ministry of Justice, among the 193,950 PACS unions concluded in 2017, 44,493 were registered in municipal registry offices in the months of November and December, representing 23% of the total for that year. This was an increase of 13,382 with respect to the same period in 2016, reversing the decline observed between 2015 and 2016 in PACS unions registered at magistrate’s courts in the last 2 months of the year (−4.4%). This new provision may have encouraged more couples to register a PACS at a municipal registry office rather than with a notary: in November and December 2017, 32,976 PACS unions were registered with notaries, slightly down from 2016, representing 17% of the annual total (17.4% in 2016).

Figure 15

Annual numbers of marriages and PACS unions by partners’ sex since 2000

Figure 15

Annual numbers of marriages and PACS unions by partners’ sex since 2000

Note: Provisional data for 2018.
Coverage: Whole of France (including Mayotte since 2014).
Source: Civil records, INSEE, Ministry of Justice.

61Each year since 2013, marriages have outnumbered PACS unions among lesbian couples (Table 14), while for gay couples, PACS unions have again overtaken marriages since 2016. In 2017, same-sex unions represented 3.1% of all marriages and 3.8% of all PACS unions.

Table 14

Number of unions (PACS or marriage) registered between 2013 and 2017 by partners’ sex

Table 14
Marriages PACS unions Year Between a man and a woman Between Between 2 men 2 women Between a man and a woman Between 2 men Between 2 women 2013 231,225 4,307 3,060 162,714 3,354 2,734 2014 230,770 5,666 4,856 167,487 3,519 2,745 2015 228,565 4,085 3,666 181,949 3,933 3,085 2016 225,612 3,672 3,441 184,444 3,863 3,251 2017 226,671 3,637 3,607 186,614 4,084 3,252 2018 (p) 229,000 6,000

Number of unions (PACS or marriage) registered between 2013 and 2017 by partners’ sex

(p): Provisional data.
Coverage: Whole of France (excluding Mayotte up to 2013 and including Mayotte from 2014).
Source: INSEE, Ministry of Justice.

62Although the number of intimate relationships and unions is increasing across birth cohorts for both men and women (Rault and Régnier-Loilier, 2015), the vast majority of marriages are still first marriages. The EPIC survey, covered in a special issue of Population (Rault and Régnier-Loilier, 2019), shows that more than half of the respondents in the 1970 birth cohort had experienced at least two important relationships before age 40. [32] Yet in 2017, almost 80% of marriages were first marriages: 79.8% of men and 80.9% of women who married a different-sex partner in that year were never-married. The proportions were higher for same-sex couples, at 91.6% and 89.3%, because while some people may have been married to a different-sex partner in the past, there have been few years in which to marry and divorce a same-sex partner since 2013.

Box 1. Total period rates

Calculating total period rates eliminates the effects of variations in population size and age structure, making it possible to describe changes in union formation behaviour over the life course. Taking account of all marriages (including remarriages) and at all ages (including after age 50), we calculate a mean number of marriages per 1,000 people under the conditions of a given year (Table 14). An identical calculation can be made for PACS unions. Marriage and PACS indicators can be compared for unions as a whole but not for distinct union orders because this information is not recorded when a PACS union is registered.
Standard total period first-marriage rates are obtained by summing probabilities or rates up to age 49 (Appendix Table A.9). However, as first marriages and remarriages after age 50 are becoming more frequent, it is useful to calculate indicators that take account of all marriages at all ages, including after 50, by summing rates at all ages (or age groups) from age 18, both for marriages and for PACS unions. This also makes it possible to compare marriages with PACS unions, which cannot be distinguished by order in available data.

63This downtrend in marriages in France over the last decade is only weakly related to changes in the population of marriageable age. While the number of marriages fell by 23.4% between 2000 and 2018, the population of France at the ages when marriage is most frequent (ages 25–54) decreased by only 3% for men and 1% for women over the period.

Convergence between numbers of PACS unions and marriages, but differences in timing

64Under the marriage conditions at all ages of 2017, the total period marriage rate (Box 1) across all marriageable ages was 571 per 1,000 men and 561 per 1,000 women (Table 15).

65Between 2014 and 2017, the total period marriage rate fell by 15 points for men (from 586 to 571) and by 12 points for women (573 to 561). This decrease stems not only from the decline in the total period first-marriage rate (by 2 points for men and 3 points for women) and remarriages (by 3 points for both sexes) but also from the stronger decrease in same-sex first marriages (from 24 to 16 for men, 20 to 15 for women) after the exceptionally high number recorded in 2014—the first full calendar year following the legalization of marriage for same-sex couples.

66Conversely, between 2014 and 2017, the total period PACS rate per 1,000 people increased sharply (from 438 to 495 for men, 423 to 479 for women), thus contributing to a convergence in the rate of PACS unions and marriage. This increase appears higher in relative terms for same-sex PACS unions (17.5% for men, 19.4% for women) than for different-sex PACS unions (12.8% for men, 12.9% for women).

67In terms of union timing, while both men and women enter a PACS union 2.5 years earlier, on average, than marriage, this age difference increased between 2014 and 2017. While mean age at entry into a PACS union remained stable at 35.0 years for men and 32.5 years for women between 2014 and 2017, the mean age at marriage increased by 0.5 years for men and 0.6 years for women. This increase is due mainly to an increase in age at first marriage, which rose by 0.8 years for men and women between 2014 and 2017, while the increase in mean age at remarriage of widow(ers) and divorcees is smaller, for men especially (+0.2 to +0.3 years).

68Last, same-sex couples still marry much later than different-sex couples, gay couples especially (43.2 years), despite a sharp decrease between 2014 and 2017 (2.1 years for men, 2.4 years for women) linked to the disappearance after 2013 of the ‘stock’ of older couples wishing to marry. This same ‘rejuvenation’ is observed for same-sex PACS unions (a decrease of 0.7 years to 37 years for men, and of 1.3 years to 35.2 years for women).

Table 15

Number of unions per 1,000 people (total period event rate*), all ages at entry into union, and mean age at union in 2014 and 2017 by marital status at time of union

Table 15
Different-sex marriages All marriages Men Women Men Women Overall Single Widowed Divorced Overall Single Widowed Divorced Total period marriage rate (per 1,000 people) 2014 586 573 560 453 6 101 551 451 6 94 2017 571 561 554 451 5 98 544 448 5 91 Mean age at marriage (years) 2014 37.2 34.5 36.9 33.7 59.2 49.6 34.3 31.7 52.6 45.6 2017 37.7 35.1 37.5 34.5 59.4 49.9 35.0 32.5 53.3 46.1 Same-sex marriages Men Women Overall Single Widowed Divorced Overall Single Widowed Divorced Total period marriage rate (per 1,000 people) 2014 26 24 0 2 22 20 0 3 2017 17 16 0 1 17 15 0 2 Mean age at marriage (years) 2014 45.3 44.5 55.7 53.1 40.6 39.5 51.6 48.6 2017 43.2 42.3 59.4 52.5 38.2 37.2 51.3 46.9 All PACS unions Different-sex PACS unions Same-sex PACS unions Men Women Men Women Men Women Total period PACS rate (per 1,000 people) 2014 438 423 420 410 18 13 2017 495 479 474 463 21 16 Mean age at PACS (years) 2014 35.0 32.5 34.9 32.4 37.7 36.5 2017 35.0 32.5 34.9 32.4 37.0 35.2

Number of unions per 1,000 people (total period event rate*), all ages at entry into union, and mean age at union in 2014 and 2017 by marital status at time of union

* Aggregate number of events (marriages, PACS) at all ages and mean age calculated from all event frequencies at all ages (including beyond age 50).
Coverage: Whole of France.
Source: Ministry of Justice, INSEE, civil records, authors’ calculations.

69For different-sex unions, in 2017, the modal age at entry into a PACS union was around 25 years for women and 28 years for men compared with 28 and 30 years for marriages (Figure 16). Marriage becomes more frequent than PACS unions from these ages. Beyond age 40, marriage is still the preferred choice for formalizing a union (more than 1.5 times more frequent than the PACS).

Figure 16

Union formalization rates by age, sex, and type of couple

Figure 16

Union formalization rates by age, sex, and type of couple

Note: Number of persons who married (or registered a PACS) in 2017 per 1,000 people of a given age.
Coverage: Whole of France.
Source: Civil records, Ministry of Justice, authors’ calculations.

70Regarding the much smaller number of formalized same-sex unions, PACS unions are still highly concentrated around age 28, for both gay and lesbian couples, while age at marriage is quite heterogeneous. Lesbian couples marry mainly around age 30, while among gay couples the dispersion is wider, with relatively similar marriage frequencies at all ages between 28 and 50 in 2017. Among gay couples, there is a clear preference for the PACS at young ages and marriage later in life (after age 40), while for lesbian couples, marriage is chosen at much earlier ages.

71As in previous years (Breton et al., 2017), a peak in marriages at ages ending in 0 is again observed in 2017 and is even becoming more pronounced. It mainly concerns marriages, both remarriages and first marriages, between different-sex partners, notably at ages 40 and 50. This preference for rounded ages is not observed for PACS unions, however, which is consistent with previous findings on the differences in importance attached to the two forms of union officialization (Rault and Régnier-Loilier, 2019).

At age 30, more than 1 in 5 newlyweds were in a PACS union before marrying

72Each year, a share of the couples who marry were already in a PACS union. This means that not all marriages represent a newly contractualized union. In 2016, 40,670 PACS unions were dissolved by a marriage; this means that the number of PACS unions was almost equal to that of marriages between couples not previously in a PACS. Altogether, from 1999 to the end of 2016, almost 270,000 PACS unions were dissolved by marriage. [33] With the growing number of PACS unions dissolved by marriage and the concomitant decrease in marriages, the share of different-sex marriages following a PACS is rising. They accounted for 17% of the total in 2016. Among same-sex couples, however, the share already in a PACS has been decreasing since 2013, accounting for 34.7% of lesbian marriages and 37.3% of gay marriages in 2016. Now that marriage has been open to same-sex couples for several years, the number already in a PACS union and wishing to marry is falling. These proportions also vary by the partners’ age; more than 1 in 5 newlyweds aged 30–34 were previously in a PACS union (21.9% of men and 23.1% of women who married at this age in 2016), but this share then decreases with age (Figure 17). It is at the ages where marriage is most frequent that the share of marriages between different-sex couples already in a PACS union is highest. This is not the case for same-sex marriages (for which the share varies between 35% and 40% at all ages beyond 25).

Figure 17

Percentage of marriages that dissolved a PACS by age at marriage and partners’ sex (marriages in 2016)

Figure 17

Percentage of marriages that dissolved a PACS by age at marriage and partners’ sex (marriages in 2016)

Coverage: Whole of France.
Source: Civil records, INSEE, PACS database of the Ministry of Justice (access via CASD), authors’ calculation.

2 – Marriage and PACS trends across cohorts

PACS unions most frequent among the cohorts born in the early 1980s

73The marriage trends described above are the result of a steady decline in first-marriage rates across the cohorts born since the 1950s and of a continuous increase in age at marriage (Appendix Table A.10A). An estimated 55% of men and 61% of women in the 1980 birth cohort will marry before age 50, [34] at age 31.8 on average for men and age 29.7 for women. These trends appear to be continuing in subsequent birth cohorts, among whom a decrease in the proportion ever-married at ages 25 and 30 has already been observed.

74Introduced in 1999, the PACS union has gained in popularity across successive cohorts over the last 20 years (Figure 18). At the end of 2017, for both men and women, the total period PACS rate [35] (whatever the partner’s sex) was highest among the cohorts born in the early 1980s. These were the first cohorts able to enter a PACS union from age 18, giving them an alternative to marriage from the start of their conjugal life. Among 35-year-olds born in 1982, there were 245 PACS per 1,000 men and 243 per 1,000 women. If the behaviours observed in recent years beyond age 35 remain unchanged, the total period PACS rate at age 50 in this cohort should reach 359 per 1,000 for men and 333 per 1,000 for women and a slightly higher level (402 for men, 363 for women) if PACS unions after age 50 are included. The difference between marriage and PACS frequencies in this birth cohort remains large, especially considering that only first marriages are included here.

75For older cohorts, some couples were already married in 1999 and so could not choose between the two types of union. Hence, the older the birth cohort, the lower the total period PACS rate at a given age. Given the level already reached at age 30 in the 1982 birth cohort, the total period PACS rate should continue to increase in subsequent cohorts. That said, starting with the cohorts born in the late 1980s, the total period PACS rate at age 25 levels off at around 85 per 1,000 women and 47 per 1,000 men at that age, women entering unions at an earlier age than men.

Figure 18

Total cohort PACS rate (per 1,000 people)* at different ages in the birth cohorts, by type of PACS (all PACS, same-sex PACS)

Figure 18

Total cohort PACS rate (per 1,000 people)* at different ages in the birth cohorts, by type of PACS (all PACS, same-sex PACS)

* Total period PACS rate at all ages from 18 years.
Coverage: Whole of France
Source: INSEE, Ministry of Justice, authors’ calculations.

76Among same-sex PACS unions, the total period PACS rate in 2017 is highest among slightly older cohorts (born before 1982); same-sex partners are older on average at the time of entry into union, and this was especially so in the first few years after the PACS was introduced. Among 40-year-olds born in 1977, the total period same-sex PACS rate is 10.5 per 1,000 for men and 7.2 per 1,000 for women, with gay PACS unions largely outnumbering lesbian PACS unions since 1999.

3 – Divorces and PACS dissolutions

Incomplete divorce statistics in 2017 following the reform of 2016

77On 1 January 2017, it became possible for married couples to divorce without going through the courts, [36] so an increase in divorces was expected in that year (Breton et al., 2018). The first figures published by the Ministry of Justice show a sharp decrease in 2017, with just 90,613 divorces registered, down by 37,000 with respect to 2016 (−29%), and a total divorce rate that plummeted to 33.1 divorces per 100 marriages (compared with 46.7 in 2016). This drop is entirely attributable to divorces by mutual consent, which account for a large share of the total (down from 71,133 in 2016 to 33,457 in 2017, a 53% decrease). But divorces registered with a notary are not yet included in the published figures. These will be added to those pronounced and registered by the courts; it is therefore too early to measure the effects of the new legislation. A large number of couples likely divorced via a notary in 2017, confirming the utility of this reform.

78Last, the published statistics indicate that the younger the spouses at the time of divorce, and the shorter their marriage, the sharper the decrease in court divorces in 2017 with respect to 2016. These are probably the couples most inclined to divorce via a notary (fewer assets, fewer children) because the divorce proceedings are simpler in such cases. The number of fault-based divorces (7,665 in 2017) also fell to historically low levels.

79Disregarding divorces in 2017, for which full statistics are not yet available, the final proportion of marriages dissolved by divorce increases across marriage cohorts, exceeding 40% for marriages registered from 1990 (Appendix Table A.10B). If behaviours remain unchanged, the proportion should stabilize at around 45%. In terms of timing, divorces will likely occur slightly earlier in the marriage, as mean marriage durations at the time of divorce have decreased from 15.6 years to 13.2 years across marriage cohorts.

More than half the PACS unions registered before 2007 have been dissolved

80The annual number of PACS dissolutions fell for the first time in 2017, with 82,345 dissolutions, down by 2,317 (2.7%) with respect to 2016. This decrease may be linked to the new system of PACS registration in municipal registry offices [37] and to delayed and incomplete transmission of registration and dissolution figures. The breakdown by reason for dissolution is not yet known for the whole of 2017, but the database of all PACS unions registered before November 2017 enables us, for the first time, to follow the outcomes of PACS unions by cohort and with respect to several different variables (Box 2).

81More than half of the PACS unions registered before 2007 had been dissolved by 1 November 2017 (Figure 19), the largest share (from 25% to 34% across the cohorts) by mutual consent. A substantial share (15% to 20%) was dissolved by the marriage of one or both partners. This proportion increases for the PACS unions formed between 2007 and 2010 (20% to 25%), while the share of dissolutions by mutual consent decreases across the cohorts. For PACS unions registered after 2007, the rate of dissolution for whatever reason decreases for the more recent unions, as the period of exposure to the risk of dissolution is shorter.

Figure 19

Aggregate number of PACS unions dissolved by end 2017, by reason and year of PACS registration (%)

Figure 19

Aggregate number of PACS unions dissolved by end 2017, by reason and year of PACS registration (%)

Interpretation: Out of 100 PACS unions registered in 1999, 25.8 were dissolved by mutual consent before 1 November 2017.
Note: This figure illustrates the four most common reasons for dissolution. Others (e.g. by the request of a legal guardian) are recorded but remain quite rare.
Coverage: All PACS unions registered before 1 January 2017, situation on 1 November 2017.
Source: Ministry of Justice (accessed via CASD), authors’ calculations.

Box 2. PACS data published by the Ministry of Justice

The French Ministry of Justice has developed an exhaustive database of all PACS unions registered and dissolved in the courts from 1999. It includes all the 2.1 million contracts registered in the courts and by notaries up to 1 November 2017. Accessed via the Secure Access Data Centre (CASD) to guarantee confidentiality, it contains the following information for each contract registered since 1999:
  • date and place of contract registration (court seized);
  • partners’ municipality of residence;
  • sex and date of birth of each partner; and
  • date and reason for PACS dissolution (if applicable).
Adjustments have been made for information not collected before 2007 (mention of the PACS in the partners’ civil records, notably their sex).

82For all PACS cohorts, analysis of dissolutions by sex reveals a higher dissolution rate (for all reasons other than marriage) for PACS unions between two women (Table 16) and, to a lesser extent, between two men. Various studies in European countries and in the United States (Wiik et al., 2014; Bennett, 2017) have already highlighted the greater fragility of these same-sex unions (civil partnerships or civil unions), particularly those between two women (Marteau, 2019).

83Moreover, the partners’ age (both under 35 vs. both over 35 at the time of PACS registration) is a determinant of dissolution risk for same-sex couples. Whatever the year of PACS registration, there are at least twice as many dissolutions of same-sex PACS unions when the partners are under 35 at entry into union as when they are over 35. Here again, these findings mirror those of certain Scandinavian countries (Bennett, 2017), which show a strong age gradient in the dissolution risk of same-sex unions. This age effect is not observed for heterosexual PACS unions, whose dissolution rate remains similar at all ages.

84It is worthwhile to examine differences in the stability of PACS unions and marriages. To make this comparison, we assume that PACS unions dissolved by marriage are not breakups but simply a change in the type of officialization preferred by the partners (Table 16). [38] This ‘change’, which was not available to same-sex PACS partners until 2013, accounts for a large share of dissolved unions, notably among couples who entered a PACS many years ago (between 2005 and 2013) and at young ages in the case of lesbian couples. A quarter of different-sex PACS partners in 2005–2007 were married 10 years later, and this proportion increases to 29% when both partners were under 35 when they entered the PACS union.

Table 16

Proportion (%) of dissolved PACS unions (on 1 November 2017) by year of registration, age, and sex of partners

Table 16
Share of PACS unions dissolved by Share of PACS unions dissolved for Distribution of PACS marriage reasons other than marriage unions PACS cohort Both Both Both Both partners partners Partners partners partners Partners Both under Both over under over of all ages under over of all ages age 35 age 35 age 35 age 35 age 35 age 35 PACS union between 2 men 1999–2004 11.4 25.5 18.8 63.4 23.8 42.1 32.6 41.2 2005–2007 14.0 21.7 17.7 49.2 19.8 34.6 31.1 42.1 2008–2010 17.0 19.3 17.4 40.9 17.5 28.7 29.7 45.9 2011–2013 15.3 13.4 14.0 31.2 14.1 23.2 34.8 40.0 2014–2016 5.6 4.1 5.0 15.4 7.6 12.3 41.6 34.8 PACS union between 2 women 1999–2004 12.6 19.1 16.6 71.9 30.5 49.4 34.7 47.7 2005–2007 22.5 20.4 21.3 55.3 23.6 39.6 37.4 42.3 2008–2010 25.2 17.8 21.7 47.6 24.0 36.1 37.8 44.0 2011–2013 26.3 14.3 21.4 38.2 17.3 28.8 44.2 38.2 2014–2016 11.4 4.9 9.4 21.1 9.5 16.5 51.2 33.0 Different-sex PACS 1999–2004 18.9 15.9 17.8 34.2 32.9 34.8 70.2 17.0 2005–2007 28.9 16.4 25.3 26.5 26.4 27.0 67.2 18.8 2008–2010 26.1 13.9 21.9 21.3 18.7 20.8 60.3 26.0 2011–2013 19.2 10.0 16.1 17.0 14.5 16.4 60.8 25.9 2014–2016 7.2 4.3 6.3 7.9 6.4 7.5 60.0 26.4

Proportion (%) of dissolved PACS unions (on 1 November 2017) by year of registration, age, and sex of partners

Interpretation: 11.4% of PACS unions concluded in 1999–2004 between two men aged under 35 were dissolved by a marriage before 1 November 2017.
Note: The partners’ ages are those recorded at the time of PACS registration.
Coverage: Whole of France, situation on 1/11/2017 of unions registered between 15/11/1999 and 31/12/2016.
Source: Ministry of Justice, data obtained via the CASD.

85With the divorce rate observed in the marriage cohorts (Appendix Table A.10B) and taking account of the PACS durations reached in 2017 by the different PACS cohorts (15 years on average for the 1999–2004 cohorts, 11 years for those of 2005–2007, 8 years for those of 2008–2010, etc.), the proportion of PACS unions dissolved for reasons other than marriage or death exceeds the rate of divorces at an equivalent marriage duration.

86These differences in the outcomes of PACS unions confirm the atypical profiles of the earliest PACS partners, as already highlighted in previous studies with regard to educational level and occupational category (Bailly and Rault, 2013). People who entered a PACS in the early days (before 2005), notably the youngest among them, and independently of the partner’s sex, married their PACS partner less often than those entering a PACS after 2005. This choice may reflect a stronger distaste for the institution of marriage. The PACS outcome thus varies considerably by the partners’ age and sex. Older gay couples more often dissolved their PACS to marry, while different-sex couples more often married at a young age, shortly after concluding a PACS union.

87Among those who dissolved their PACS after age 60, death is the most frequent reason for dissolution. In 2016, this reason accounted for 10% to 13% of dissolutions in this age group, depending on the partners’ sex (Figure 20). For different-sex couples, marriage is the most frequent reason for dissolving a PACS union at ages 25–35. For same-sex couples, the rate of dissolution for reasons of marriage increases with age. For both gay and lesbian couples, 64% of the PACS unions that end after age 60 are dissolved for reasons of marriage. Conversely, for PACS unions dissolved at a young age, dissolution by mutual consent is the most frequent reason among same-sex couples, but only among the under-25s for different-sex couples. No more than 3% of all PACS unions are dissolved by unilateral request of one partner.

Figure 20

Distribution (%) of people who dissolved a PACS union in 2016 by sex, age at dissolution, and reason

Figure 20

Distribution (%) of people who dissolved a PACS union in 2016 by sex, age at dissolution, and reason

Interpretation: 69% of men aged 18–24 in a different-sex PACS union who dissolved their union in 2016 did so by mutual consent.
Coverage: PACS unions dissolved in 2016.
Source: Ministry of Justice, data obtained via the CASD.

4 – Unions in France and Europe

Fewer, later marriages in France

88The decline in marriage and the changing partnership behaviours observed in France are part of a well-documented overall trend that began in Northern Europe in the 1970s (Sardon, 2006; Sobotka and Toulemon, 2008; Avdeev et al., 2011). The timing of these changes varied across European countries, leading to large disparities in first-marriage rates in the 1980s and 1990s (Sardon, 1992), with the Scandinavian model at one extreme and the Mediterranean model at the other (Prioux, 2006a). With marriage in sharp decline (decrease in the share of persons ever-married at age 50, ever-later age at marriage, widespread non-marital cohabitation), France is moving closer to the Scandinavian model.

89Recent first-marriage indicators (Table 17) reveal a contrast between the countries of Southern and Western Europe, on the one hand, and of Eastern Europe, on the other. In 2017, the total period first-marriage rate does not exceed 0.5 first marriages per person in France (for men and women alike), and age at marriage is quite high in France, Spain, Italy, the United Kingdom, the Benelux countries, and Slovenia. In these countries, age at first marriage is over 30 years for women and 33 for men. France is moving away from the countries of Northern Europe, however, where total period first-marriage rates have increased in recent years (0.57 in Sweden and 0.65 in Denmark). The countries of Eastern Europe are very distinctive, with a relatively high total period first-marriage rate and an age at first marriage that remains low despite a clear trend towards postponement.

90In some countries, the total period first-marriage rate is very high (Latvia, Romania, and Slovakia) and in others very low (Luxembourg), depending on the direction of migration flows. Marital mobility enables immigrant couples to marry in their home country, while other couples prefer to marry abroad (lately in Greece, around 10% of marriages concern non-residents, on the Greek islands especially). These phenomena have a clear impact on total period first-marriage rates based on marriages registered in the country of residence, pushing them up in high-emigration countries and down in high-immigration countries. The rapid changes in marriage timing and the sharp increase in age at first marriage from the 1990s in countries where people traditionally married young (Eastern Europe) may also explain the recent increase in the total period first-marriage rate through a catch-up process of younger cohorts marrying at later ages. A longitudinal analysis of first marriages would be needed to confirm these hypotheses.

91Although difficult to verify, the existence of the PACS since 1999 in France may have exacerbated the marriage decline by enabling couples to choose an alternative way to formalize their union. Alongside France, the Netherlands is the only other European country where all couples, including different-sex couples, can choose between marriage and civil partnership (known as a registered partnership in the Netherlands) to formalize their union.

Table 17

First-marriage indicators in EU countries in 2010 and 2017

Table 17
Total first marriage rate Mean age at first marriage (years) Country Men Women Men Women 2010* 2017** 2010* 2017** 2010* 2017** 2010* 2017** Belgium 0.42 0.42 0.44 0.43 31.7 33.5 29.4 31.2 Bulgaria 0.38 0.53 0.42 0.62 29.8 30.6 26.6 27.3 Czech Republic 0.41 0.54 0.46 0.60 30.8 31.8 27.9 29.1 Denmark 0.66 0.65 0.68 0.66 33.6 34.8 31.2 32.4 Germany 0.54 0.58 0.57 0.62 32.9 34.0 30.2 31.2 Estonia 0.38 0.48 0.38 0.54 30.5 32.2 28.0 29.7 Ireland — 0.60 — 0.59 33.1 33.8 31.3 32.0 Greece 0.58 0.65 0.67 0.70 32.6 33.3 29.3 30.3 Spain 0.38 0.44 0.42 0.48 33.1 35.4 30.9 33.2 France 0.49 0.47 0.49 0.46 32.8 34.4 30.7 32.2 Croatia 0.63 0.67 0.67 0.72 30.0 31.0 27.1 28.2 Italy 0.48 0.45 0.53 0.48 33.2 35.0 30.3 32.2 Cyprus — — — — — — — — Latvia 0.39 0.70 0.41 0.76 29.4 31.5 27.1 28.9 Lithuania 0.61 0.86 0.62 0.90 28.7 30.5 26.5 27.8 Luxembourg 0.35 0.31 0.39 0.34 32.8 34.0 30.2 31.6 Hungary 0.36 0.59 0.39 0.65 31.2 32.3 28.3 29.4 Malta 0.78 — 0.84 — 31.3 — 28.6 — Netherlands 0.52 0.45 0.53 0.45 32.4 33.9 29.8 31.4 Austria 0.48 0.58 0.50 0.61 — 34.2 — 31.5 Poland 0.64 0.59 0.68 0.64 28.4 29.6 26.1 27.3 Portugal 0.43 0.42 0.47 0.44 29.9 32.5 27.7 30.7 Romania 0.70 0.93 0.77 1.05 29.0 31.0 25.6 27.5 Slovenia 0.37 0.41 0.42 0.47 31.7 32.9 29.0 30.4 Slovakia 0.48 0.65 0.52 0.72 30.0 31.2 27.2 28.6 Finland 0.64 0.51 0.70 0.53 32.5 33.9 30.2 31.6 Sweden 0.59 0.57 0.66 0.58 35.6 36.6 32.7 33.8 United Kingdom 0.46 0.49 0.50 0.50 — 33.4 — 31.5

First-marriage indicators in EU countries in 2010 and 2017

* 2011 data for Germany and Austria, 2008 data for the United Kingdom.
** 2016 data for Estonia, and 2015 data for Ireland, France, and the United Kingdom.
Source: Eurostat data, site accessed July 2019.

A high rate of same-sex marriages in France

92With 3.1% of marriages between partners of the same sex in 2017, the rate of same-sex marriages in France is quite high relative to other European countries where same-sex marriage is legal. [39] The proportion ranges between around 1% and 4% of all marriages (Figure 21), and same-sex marriages are generally most frequent in the years following legalization, when existing couples are able to formalize a long-standing union, except in certain countries (Spain and Portugal) where the share has increased steadily over the years (Cortina et al., 2013). The high level in France is all the more remarkable given that a choice between marriage and PACS, which also provides considerable protection and benefits, is available to all couples wishing to formalize their union.

Figure 21

Share (%) of same-sex marriages among total marriages in selected European countries

Figure 21

Share (%) of same-sex marriages among total marriages in selected European countries

Source: Statistics obtained from the websites of national statistical offices, authors’ calculations.

93In most countries, notably those of Northern Europe, lesbian couples account for more than half of the same-sex couples who marry. This is not yet the case in France, although their share is tending to increase (from 41.5% in 2013 to 49.8% in 2017). A similar increase has been observed in Spain and the Netherlands. In Finland, Denmark, and Sweden, a large majority of same-sex marriages are between women, encouraged perhaps by these countries’ more progressive gender norms and more egalitarian gender relations.

A relatively high rate of divorce in France

94Up to the early 2000s, divorce increased more slowly in France than in other European countries, and levels were below those observed in the pioneer countries of Northern Europe (Sweden and Denmark), the Baltic countries, and the United Kingdom, where the total period divorce rate [40] exceeded 40 divorces per 100 marriages from the early 2000s (Prioux, 2006b; Sardon, 2006).

95Because the annual distribution of divorces by marriage duration is not known for all countries, we estimate here a total divorce rate for each country as the ratio of the mean number of divorces (averaged over 3 years) to the mean number of marriages registered in the country between 14 and 10 years previously (divorce occurs at a marriage duration of around 12 to 15 years on average). [41] With a more appropriate denominator, this indicator is more meaningful than a crude divorce rate, even if the migration of married couples is liable to introduce bias.

96In recent years, divorce rates have been generally high in France but remain lower than those of the Northern European and Baltic countries, despite a decrease in the total divorce rate between 2008 and 2016 in many of these countries where divorce was very frequent (Figure 22). The rankings remain relatively unchanged, however, even though divorce has increased rapidly in some countries where it was once rare, such as Spain and Portugal. While it would be overstating the case to talk about a convergence of divorce behaviours, major legislative changes in countries traditionally opposed to divorce are leading to a rapid increase in divorce numbers. This is the case in certain countries of Southern Europe (Croatia and Slovenia) and notably in Italy, where the divorce rate has increased from 18% to 35% within a few years in response to two successive reforms in 2014 and 2015 (simplification of procedures and shorter waiting time between separation and divorce). A similar law was voted in Ireland in 2019, and its effects may well be the same. But the trend is towards a decrease in divorce in most other countries, including France.

Figure 22

Divorce indicator in the European Union, 2008 and 2016

Figure 22

Divorce indicator in the European Union, 2008 and 2016

Note: Ratio of mean number of divorces in years t – 1 to t + 1 to the mean number of marriages in years t – 14 to t – 10.
Source: Eurostat data, site consulted in July 2019, authors’ calculations.

VI – Mortality

1 – Characteristics of mortality

A steady increase in deaths over the last 15 years

97According to provisional estimates, deaths in 2018 totalled 614,000 for the whole of France, of which 601,000 in metropolitan France and 13,000 in the overseas departments, topping the threshold of 600,000 in metropolitan France for the first time since the Second World War. Between the 1950s and the early 2000s, the figure oscillated between 500,000 and 575,000. Mortality peaked in 1969 after a flu epidemic caused 30,000 deaths, largely because no effective vaccine existed. Another severe health crisis due to the 2003 heatwave raised the number in that year to 552,339. [42] A sharp dip was observed in 2004 with 509,429, but the figure has since been increasing steadily (Pison and Toulemon, 2016) (Figure 23).

98The increase in deaths is mostly due to the ageing of the large cohorts born after the Second World War. Births in metropolitan France peaked in 1949, when 872,661 were recorded. This birth cohort’s members will reach age 87, the modal age at death, in 2036. The current upward trend in deaths is thus likely to continue over the coming years, unless life expectancy changes considerably.

A slower increase in life expectancy

99While life expectancy at birth rose between 2017 and 2018, reaching 79.5 years for males and 85.4 years for females in metropolitan France (79.4 and 85.3 years for the whole of France), the rate of increase has slowed recently. Independently of the excess mortality observed in 2015 due to a severe flu epidemic, [43] life expectancy has increased more slowly in the last decade than in the previous one, for females especially. In metropolitan France, life expectancy at birth rose by 1.9 years for males and 1.0 years for females between 2008 and 2018 versus 2.8 years and 2.0 years between 1998 and 2008. To understand the reasons for this slowdown, we analysed the pattern of gains in life expectancy at birth by age group using INSEE’s 3-year life tables, the most recent of which corresponds to the period 2015–2017 (Figure 24).

Figure 23

Total annual deaths in metropolitan France, 1946–2018

Figure 23

Total annual deaths in metropolitan France, 1946–2018

Coverage: Metropolitan France.
Source: INSEE, Demographic Surveys and Studies Division.

100Before age 45, gains were halved for both sexes between 2005–2007 and 2015–2017 compared to the previous decade (0.48 vs. 0.87 years for males and 0.23 vs. 0.42 years for females). Beyond age 45, gains were identical for males over both periods but fell from 1.5 to 1.0 years for females. As a result, France is not performing as well as its European neighbours in terms of premature mortality, despite its high ranking for life expectancy at birth.

2 – France well placed in Europe for life expectancy

101In 2017, the most recent year for which comparative data are available, France still ranked among the top third of European countries in life expectancy at birth for both sexes combined (Appendix Table A.12). Its position has not changed notably over the last 15 years. It remains a European leader for female life expectancy at birth (85.2 years), alongside Italy and just behind Switzerland (85.6) and Spain (86.1).

Figure 24

Decomposition of life expectancy gains by age group for males and females

Figure 24

Decomposition of life expectancy gains by age group for males and females

Coverage: Metropolitan France.
Source: INSEE, Demographic Surveys and Studies Division.

102France is less well placed for males, ranking 9th among the 28 EU members in 2019 (Figure 25). With a male life expectancy at birth of 79.4 years, it trails Switzerland (the European leader, which holds the record at 81.6) and is outranked by several countries of Western Europe (Ireland, Luxembourg, the Netherlands, and Switzerland), Northern Europe (Iceland, Norway, and Sweden), and even Southern Europe (Spain and Italy), a region that had long lagged behind. However, like Austria and the United Kingdom, France ranks above all the countries of Eastern Europe and even above several other economically prosperous countries such as Belgium, Denmark, and Germany.

High premature mortality

103Analysis of mortality by age group shows that France is well placed for survival at older ages but is below the mean for mortality before age 65. It performs poorly for mortality of children under 15, holding 19th place for boys and 20th place for girls in 2017 (out of 28 countries ranked by increasing order of probability of dying in each age group). While France ranked 7th in 2005 (6th for girls, 8th for boys), it has gradually lost ground over the last decade or so, due mainly to a lack of progress in infant mortality. While deaths before age 1 have continued to fall in other European countries, they have stagnated in France. The infant mortality rate was estimated at 3.9 per 1,000 in 2017 for the whole of France (3.6 per 1,000 in metropolitan France), while in 11 other EU-28 countries, excluding Eastern Europe and with the notable exception of the United Kingdom, the rate was below 3.0 per 1,000.

Figure 25

Male and female life expectancy at birth in France and in other countries of the European Union, 1980–2017

Figure 25

Male and female life expectancy at birth in France and in other countries of the European Union, 1980–2017

Coverage: European Union members in 2019 (including the United Kingdom).

104France ranks slightly better for mortality at ages 15–24, 25–44, and 45–64 but is below the median (14th, 17th, and 15th positions for men; and 15th, 16th, and 12th for women) (Table 18). Its position has been relatively stable since 1980, except in female mortality at ages 45–64, which has declined much more slowly than in many other European countries. In the first half of the 2000s, France still ranked 5th or 6th for the female probability of dying in late middle age but has now fallen to 12th place (15th for men in 2000 and in 2017, with little fluctuation over the period).

Table 18

Probability of dying and life expectancy at age 85 in EU-28 countries, males and females, 2017

Table 18
Males Probability of dying (per 1,000) Life Country Before At ages At ages At ages At ages At ages expectancy age 1 1–14 15–24 25–44 45–64 65–84 at age 85 Bulgaria 6.9 3.7 6.9 37.0 242.9 747.2 4.6 Croatia 4.7 2.2 5.4 22.3 172.4 687.1 5.0 Cyprus 1.3 1.5 4.0 13.8 92.5 522.4 5.3 Hungary 3.9 2.2 4.6 26.6 244.5 729.9 5.2 Slovakia 5.2 2.6 6.3 28.7 198.4 700.0 5.3 Lithuania 2.9 3.2 7.6 63.7 250.2 724.7 5.1 Latvia 4.5 2.8 9.8 64.3 269.7 743.7 5.2 Romania 7.6 3.5 7.2 35.8 248.1 727.8 5.5 Czech Republic 3.1 1.7 5.4 22.9 152.1 651.4 5.3 Greece 3.4 1.7 5.1 20.0 127.1 546.0 6.6 Netherlands 3.9 1.6 3.4 14.1 88.4 531.9 5.8 Austria 3.0 1.7 4.2 16.7 107.0 534.2 6.1 Denmark 4.2 1.4 3.6 14.9 110.1 551.6 5.7 Germany 3.5 1.4 3.5 17.5 121.0 558.7 5.9 Sweden 2.4 1.2 4.7 17.6 78.7 499.4 5.7 Poland 4.6 1.8 6.7 36.9 204.6 665.4 5.9 United Kingdom 4.2 1.5 3.8 22.0 103.0 529.7 6.2 Portugal 3.0 1.8 3.8 20.7 131.8 545.9 5.7 Estonia 2.7 1.8 6.3 41.5 198.2 681.0 5.8 Ireland 2.8 1.1 3.4 17.1 86.4 529.0 6.3 Slovenia 2.0 0.9 3.9 17.6 129.0 588.6 5.7 Malta 8.0 1.2 4.3 15.2 84.7 508.2 5.9 Finland 2.1 1.4 6.3 23.9 112.6 544.1 6.1 Belgium 3.9 2.0 4.2 20.1 108.7 537.3 6.1 Italy 2.8 1.4 3.4 13.5 85.5 506.3 6.1 Luxembourg 4.8 1.2 4.7 13.0 91.6 528.0 6.5 Spain 2.9 1.3 2.8 13.5 101.3 504.9 6.6 France 4.3 1.7 4.6 22.2 121.9 483.8 6.7

Probability of dying and life expectancy at age 85 in EU-28 countries, males and females, 2017

tableau im44
Females Probability of dying (per 1,000) Life Country Before At ages At ages At ages At ages At ages expectancy age 1 1–14 15–24 25–44 45–64 65–84 at age 85 Bulgaria 5.8 2.1 3.1 17.7 112.6 582.9 5.2 Croatia 3.3 2.1 1.5 10.2 77.0 524.6 5.6 Cyprus 1.3 2.4 1.0 6.6 47.4 367.4 5.6 Hungary 3.0 2.1 1.7 13.3 117.1 549.6 5.9 Slovakia 3.8 1.8 2.1 12.6 87.6 517.2 5.9 Lithuania 2.8 1.5 2.8 21.1 92.6 486.0 6.0 Latvia 3.5 1.7 3.9 20.8 103.4 512.2 6.0 Romania 6.0 2.8 2.6 15.8 106.0 568.6 6.0 Czech Republic 2.2 1.2 2.1 9.9 72.2 472.2 6.1 Greece 3.3 1.5 1.5 8.1 57.0 390.0 6.4 Netherlands 3.1 1.2 1.6 9.1 66.7 398.3 6.6 Austria 2.9 1.2 1.6 8.6 58.3 378.6 6.6 Denmark 3.3 0.8 1.4 8.5 68.4 423.1 6.7 Germany 3.0 1.3 1.7 9.2 67.1 397.3 6.7 Sweden 2.3 1.1 1.8 8.4 54.0 386.3 6.8 Poland 3.7 1.5 2.3 11.9 86.7 459.0 6.9 United Kingdom 3.4 1.2 1.8 12.4 68.3 412.0 6.9 Portugal 2.2 1.3 1.9 10.2 55.1 358.7 7.0 Estonia 1.8 2.0 3.0 11.6 76.8 437.2 7.0 Ireland 3.2 1.0 1.5 8.9 56.8 396.8 7.0 Slovenia 2.1 1.1 2.5 7.5 64.3 394.1 7.2 Malta 4.6 1.4 1.2 6.6 58.6 367.0 7.3 Finland 1.8 1.4 2.8 10.0 56.7 368.9 7.3 Belgium 3.2 1.3 2.0 10.3 67.0 376.4 7.4 Italy 2.6 1.1 1.4 7.4 49.7 349.2 7.4 Luxembourg 1.7 1.6 1.1 8.1 57.4 390.6 7.7 Spain 2.4 1.2 1.4 7.3 49.3 314.2 7.9 France 3.8 1.3 1.8 10.1 61.5 305.0 8.2
Note: In order of countries’ life expectancy of women.
Coverage: EU-28 in September 2017.

Lower old-age mortality than in other European countries

105By contrast, mortality at ages 65 and older is low in France compared to other European countries. It ranks first not only for survival at ages 65–84 but also for life expectancy at age 85 for men and women alike (Table 18). But unlike mortality at younger ages, for which progress has slowed considerably in most European countries, mortality at ages 65–84 has plummeted almost everywhere over the last 20 years. This means that France is closely followed by a large group of countries, especially if we exclude the countries of Eastern Europe that are trailing their Western neighbours. The mortality decline at ages 65–84 alone is responsible for almost half the progress in life expectancy at birth achieved over the last decade.

A narrowing of the life expectancy gender gap

106The gender gap in life expectancy (5.8 years in 2017) is still wider in France than in most other European countries except Croatia (6.1 years), Portugal (6.2 years), and those of Eastern Europe, where it ranges between 5.9 years in the Czech Republic and 9.9 years in Latvia (Appendix Table A.12). After reaching more than 8 years between 1976 and 1996, the gap has narrowed since the mid-1990s, however, due to a slowing of progress in female life expectancy (Meslé, 2006). Compared with 1992, when the gender gap was at its widest (8.3 years), men can expect to live 6.3 years longer and women just 4.0 years longer. Changes in the mortality gender gap by age across successive 10-year periods reveal a converging trend (Figure 26).

Figure 26

Excess male mortality by age in 1995–1997, 2005–2007, and 2015–2017

Figure 26

Excess male mortality by age in 1995–1997, 2005–2007, and 2015–2017

Coverage: Metropolitan France.
Source: INSEE 3-year life tables, Demographic Surveys and Studies Division.

107Female mortality is lower than male mortality at all ages, but the gender gap varies considerably over the lifespan. For the two periods (1995–1997 to 2005–2007 and 2005–2007 to 2015–2017), the female advantage is especially pronounced at young adult ages (with a male excess mortality risk of more than 3.0 around age 25). It is also high around ages 60–65, with a ratio of more than 2.0 between ages 55 and 70. The gender gap is small, on the other hand, at the beginning and end of life, with a ratio of less than 1.2 in the first 2–3 years of life and after age 95. The ratio of probabilities has nonetheless decreased at all ages below 80, especially between ages 35 and 70 (when the difference between the curves corresponding to 1995–1997 and 2015–2017 in Figure 26 is largest).

108The narrowing of the life expectancy gender gap is due primarily to slower progress in reducing cancer mortality among women than among men. This trend is linked to gender differences in smoking behaviour. While the proportion of male smokers has been falling since the 1970s, it increased steadily among women until the 2010s. This narrowing is also due to a decline in deaths from external causes (road traffic accidents, suicides, and homicides), which has mainly benefited men, whose mortality rates from these causes were previously much higher than those of women (Breton et al., 2018).

3 – A stagnation of infant mortality in France

109As mentioned earlier, France is well down in the European rankings for child mortality, and this poor performance is due mainly to infant mortality (before age 1), which accounts for 65%–70% of overall mortality before age 15. Over the last 12 years or so, the probability of dying before age 1 has fluctuated around 3.7 per 1,000 births in France (3.5 per 1,000 in metropolitan France). In the early 2000s, the infant mortality rate in France was around 25% below the EU-28 average, but by 2017 it was slightly above, most other countries having achieved further progress in this area (Figure 27). In the Scandinavian countries (Finland, Iceland, Norway, and Sweden), where infant mortality rates are lowest, the probability of dying in the first year of life fluctuates around 2.0–2.5 per 1,000 births (Appendix Table A.13).

110The lack of progress concerns all components of infant mortality to varying degrees (Figure 28; Appendix Table A.11). After falling to a record low in 2005, at 1.55 per 1,000 births in metropolitan France, [44] early neonatal mortality (death in the first week of life) has increased steadily, reaching 1.85 per 1,000 in 2017. Late neonatal mortality (death in the 3 following weeks) has remained stable, at around 0.80 per 1,000, since 2000. Post-neonatal mortality (from the fifth week to the first birthday) fell progressively to a low of 3.3 per 1,000 in 2011 but has been rising steadily, reaching 3.6 per 1,000 in 2017. The increased contribution of mortality in the first week of life to total infant mortality (50% in 2017) is the result of these distinct trends that have not been studied in detail and whose determinants remain poorly understood (Papon, 2018).

Figure 27

Infant mortality rate in France and other EU-28 countries

Figure 27

Infant mortality rate in France and other EU-28 countries

Coverage: EU-28 in 2019 (including the United Kingdom).

4 – Causes of death in France: a comparative perspective

111The following analyses are based on World Health Organization data for the distribution of deaths by cause, and on Eurostat data for all-cause mortality rates. For France, INSERM (CépiDc) and INSEE data are also used. As long time series of mortality by cause are not available for the overseas departments, only metropolitan France is covered here. The comparison covers 2000–2015, a period for which we could obtain the necessary information for most EU-28 countries apart from Cyprus, Luxembourg, Portugal, and Slovakia. To facilitate comparison, deaths from ill-defined causes were redistributed proportionately for each country by year, sex, and age group. The proportion of deaths from ill-defined causes ranges from 0% to 11% (the highest figure is recorded in France), with a median at 2.2% and an interquartile difference of 2.7%.

Very low cardiovascular mortality in France

112Cardiovascular disease, the leading cause of death in Europe, accounts for 45% of all-cause mortality (50% for women, 40% for men), with three-quarters of cardiovascular mortality attributable to heart diseases. Mortality from this cause in France is particularly low compared to its European neighbours.

Figure 28

Trends in infant mortality and its components in metropolitan France since 1980

Figure 28

Trends in infant mortality and its components in metropolitan France since 1980

Coverage: Metropolitan France.
Source: INSEE, Situation démographique en 2017, Table 70.

113While the mean rate was 500 deaths per 100,000 population for Europe as a whole in 2015, France recorded a level of just 220 per 100,000. France is slightly ahead of Spain for men, but more markedly so for women, with a rate of 180 per 100,000 in France versus 215 per 100,000 in Spain. Mortality from ischaemic heart disease is particularly low in France, with a rate 4 times below the European average in 2015.

114In France, as elsewhere (Ouellette et al., 2014), the decrease in cardiovascular mortality has been the main factor driving progress in life expectancy at birth over the last 50 years. Over the period 2000–2015, the decline in deaths from these diseases accounted for 35% of total life expectancy gains in France for men and 51% for women, i.e. one-third of the 4.0 years gained by men and half of the 2.5 years gained by women (Appendix Table A.14). The age-standardized mortality rate from cardiovascular diseases fell by 40% over this period for men and women alike. Because of this steep decline, cardiovascular diseases have been overtaken by cancers as the leading cause of death in France. But despite the steady decrease in smoking in most European countries, progress in the fight against cancer is slowing in Europe, perhaps due to the increased prevalence of risk factors such as diabetes and obesity (Wilkins et al., 2017).

A French advantage for female cancer mortality

115Cancer has been the leading cause of death in France since the 1990s. Only three other European countries—Denmark, the Netherlands, and the United Kingdom—are in a similar situation. This is not due to high levels of cancer mortality (except in Denmark and, to a lesser extent, the United Kingdom), but rather to low cardiovascular mortality. For men, cancer mortality in France is close to the European average, and the trend is slightly more favourable than elsewhere. The age-standardized rate fell below the European average in 2008–2009 and was just below it in 2015 (385 vs. 390 per 100,000). French female cancer mortality rates are relatively lower, but the age-standardized rate for women is falling slowly, so their advantage is shrinking: between 2000 and 2015, it fell by just 6% versus more than 20% for men.

116Stomach cancer mortality is much lower in France than in the rest of Europe, with an age-standardized rate at just half the European average for both sexes. Likewise, cancers of the uterus, prostate, and colorectum are 20% below the European average. For smoking-related cancers, primarily of the lungs and upper aerodigestive tract, French rates are around the European average, and the increase in female lung cancer deaths is the main factor holding back progress in female cancer mortality in France. Last, oesophageal cancer mortality is around 10% higher than the European average, as is female breast cancer mortality, despite a steady decline since 1990.

Mortality from other diseases very close to the European average

117For all other diseases (excluding cancers, cardiovascular diseases, and deaths from external causes), total mortality in France corresponds exactly to the European average for both males and females, with an age-standardized rate of 280 per 100,000 in 2015 for both sexes combined (240 for females and 340 for males). Its relative position varies by type of disease, however. While France has a small advantage for respiratory diseases (the age-standardized rate represented 80% of the European average in 2015) and digestive diseases (85% of the European average), mortality from infectious diseases is slightly above the European average (by 10%), but with little impact on overall mortality because deaths from this cause are rare in all countries.

A contrasting situation by sex for deaths from external causes

118The age-standardized rate of deaths from external causes is close to the European average for men. However, this average is distorted by the singular situation in the Baltic countries (Estonia, Latvia, and Lithuania) where external-cause mortality is much higher than elsewhere. In 2000, the rate in these countries stood at 250 per 100,000 compared with a European average of 125 per 100,000 and a rate of 115 per 100,000 in France. It has since fallen rapidly, moving closer to the European average. Lithuania remains a European outlier, with a rate that was still close to 200 per 100,000 in 2015.

119France is less well placed for females, with an age-standardized death rate from external causes among the highest in Europe (excluding the Eastern European countries). At 40 per 100,000 (compared with a European average of 32 per 100,000), the rate is nonetheless much lower than that of males. This relative excess mortality in France is not attributable to homicides (whose rate is just 50% of the European average) or road traffic accidents (80% of the European average), but to suicides (20% above the European average) and accidental deaths other than road deaths.

Appendix
Table A.1

Population change (in thousands) and crude rates (per 1,000)

Table A.1
Numbers Crude rates (per 1,000) Mid-year population Births Deaths Natural increase Net migration Total change Births Deaths Natural increase Total increase Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France 1985 55,284 56,582 768 796 552 560 216 236 38 39 254 275 13.9 14.1 10.0 9.9 3.9 4.2 4.6 4.9 1990 56,709 58,138 762 793 526 534 236 259 80 77 316 336 13.4 13.6 9.3 9.2 4.1 4.4 5.6 5.8 1995 57,844 59,384 730 759 532 540 198 219 40 42 238 261 12.6 12.8 9.2 9.1 3.4 3.7 4.1 4.4 2000 59,062 60,725 775 807 531 541 244 266 70 72 314 338 13.1 13.3 9.0 8.9 4.1 4.4 5.3 5.6 2001 59,476 61,163 771 803 531 541 240 262 85 87 325 349 13.0 13.1 8.9 8.8 4.1 4.3 5.5 5.7 2002 59,894 61,605 762 793 535 545 227 248 95 97 322 345 12.7 12.9 8.9 8.8 3.8 4.1 5.4 5.6 2003 60,304 62,038 761 793 552 562 209 231 100 102 309 333 12.6 12.8 9.2 9.1 3.4 3.7 5.1 5.4 2004 60,734 62,491 768 799 509 519 259 280 105 105 364 385 12.6 12.8 8.4 8.3 4.2 4.5 6.0 6.2 2005 61,181 62,958 774 807 528 538 246 269 95 92 341 361 12.7 12.8 8.6 8.5 4.1 4.3 5.6 5.7 2006 61,597 63,393 797 829 516 527 281 302 115 112 396 414 12.9 13.1 8.4 8.3 4.5 4.8 6.4 6.5 2007 61,965 63,781 786 819 521 531 265 288 75 74 340 362 12.7 12.8 8.4 8.3 4.3 4.5 5.5 5.7 2008 62,300 64,133 796 828 532 543 264 285 67 57 331 342 12.8 12.9 8.5 8.5 4.3 4.4 5.3 5.3 2009 62,615 64,459 793 825 538 549 255 276 44 32 299 308 12.7 12.8 8.6 8.5 4.1 4.3 4.8 4.8 2010 62,918 64,773 802 833 540 551 262 282 43 39 305 321 12.7 12.9 8.6 8.5 4.1 4.4 4.8 5.0 2011 63,223 65,087 793 823 535 545 258 278 47 30 305 308 12.5 12.6 8.5 8.4 4.0 4.2 4.8 4.7 2012 63,537 65,403 790 821 559 570 231 251 91 72 322 323 12.4 12.6 8.8 8.7 3.6 3.9 5.1 4.9 2013 63,863 65,848 782 812 558 569 224 243 107 100 331 343 12.2 12.4 8.7 8.7 3.5 3.7 5.2 5.2 2014 64,164 66,277 781 819 547 559 234 260 39 32 273 292 12.2 12.4 8.5 8.4 3.7 4.0 4.3 4.4 2015 64,685 66,513 760 799 582 594 178 205 52 41 168 180 11.8 12.0 9.0 8.9 2.8 3.1 3.6 3.7 2016 (p) 64,544 66,686 745 784 581 594 164 190 66 58 150 166 11.5 11.8 9.0 8.9 2.5 2.9 3.6 3.7 2017 (p) 64,672 66,830 730 770 594 606 136 164 66 58 107 122 11.3 11.5 9.2 9.1 2.1 2.4 3.1 3.3 2018 (p) 64,769 66,942 720 759 597 610 123 149 66 58 87 102 11.3 11.3 9.2 9.1 2.1 2.2 2.9 3.1

Population change (in thousands) and crude rates (per 1,000)

(p): Provisional results, end 2018.
Coverage: Whole of France (including Mayotte since 2014).
Source: INSEE, Demographic Surveys and Studies Division.
Table A.2 -

Age distribution of the population on 1 January (%)

Metropolitan France

tableau im49
Age group 1995 2000 2005 2010 2015 2016 (p) 2017 (p) 2018 (p) 2019 (p) 0–19 26.1 25.6 25.0 24.5 24.3 24.3 24.1 24.0 23.8 20–59 53.8 53.8 54.1 52.7 50.8 50.5 50.3 50.0 49.8 60+ 20.1 20.6 20.9 22.8 24.8 25.2 25.6 26.0 26.4 including: 65+ 15.0 16.0 16.5 16.8 18.6 19.1 19.5 19.9 20.3 75+ 6.1 7.2 8.1 8.9 9.3 9.3 9.3 9.3 9.2 Overall 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Metropolitan France

Whole of France

tableau im50
Age group 1995 2000 2005 2010 2015 2016 (p) 2017 (p) 2018 (p) 2019 (p) 0–19 26.4 25.8 25.3 24.8 24.6 24.6 24.4 24.3 24.1 20–59 53.8 53.8 54.0 52.6 50.8 50.5 50.2 50.0 49.8 60+ 19.9 20.4 20.7 22.6 24.6 24.9 25.4 26.0 26.1 including: 65+ 14.9 15.8 16.3 16.6 18.4 18.9 19.3 19.7 20.0 75+ 6.0 7.1 8.0 8.8 9.1 9.2 9.1 9.2 9.3 Overall 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Whole of France

(p): Provisional results, end 2018.

Age distribution of the population on 1 January (%)

Source: INSEE, Demographic Surveys and Studies Division, series revised after the 2013 census.
Table A.3

Number of first residence permits of at least one year granted to citizens of third countries (constant geographical area) by first year of validity

Table A.3
Year admitted for residence Total Of which minors 2000 136,865 16,230 2001 164,676 22,126 2002 187,077 24,153 2003 200,531 24,597 2004 201,380 29,131 2005 199,780 31,128 2006 194,936 27,205 2007 177,304 24,766 2008 184,201 20,561 2009 189,428 18,524 2010 184,429 17,980 2011 177,671 17,594 2012 180,011 17,500 2013 192,396 18,246 2014 199,887 20,688 2015 210,040 21,493 2016 218,354 22,406 2017 237,742 28,969

Number of first residence permits of at least one year granted to citizens of third countries (constant geographical area) by first year of validity

Coverage: Permits granted in France and abroad to foreign nationals excluding citizens of the European Economic Area and Switzerland. Permits granted in year n and registered in the AGDREF database extraction performed in July of the year n + 2, except for the year 2009, for which extraction was performed in July 2012.
Source: Authors’ calculations based on AGDREF data transmitted to INED.
Table A.4

Fertility since 1970

Table A.4
Year Sum of age-specific rates (per 100 women) Mean age at childbearing (years) Mean age at first birth (1) Proportion of births 15–24 25–34 35+ Total (TFR) outside marriage Metropolitan France Whole of France Metropolitan France Whole of France Metropolitan France Whole of France Metropolitan France Whole of France Metropolitan France Whole of France Metropolitan France Whole of France 1970 93 125 30 247 27.2 23.9 6.8 1975 76 97 19 193 26.7 24.1 8.5 1980 70 109 16 194 26.8 24.5 11.4 1985 54 110 17 181 27.5 25.2 19.6 1990 42 114 22 178 28.3 26.0 30.1 1995 31 33 116 116 24 24 171 173 29.0 28.9 26.8 37.6 38.6 2000 32 33 125 125 31 31 187 189 29.4 29.3 27.4 42.6 43.6 2005 31 33 126 125 35 35 192 193 29.7 29.6 27.7 47.4 48.4 2006 32 130 37 198 29.8 27.8 2007 31 128 37 196 29.8 27.9 2008 31 129 38 199 29.9 27.9 2009 31 129 39 199 29.9 28.0 2010 31 32 131 131 40 39 202 202 30.0 29.9 28.1 54.1 54.9 2011 30 31 129 129 41 40 200 200 30.1 30.0 55.0 55.8 2012 29 31 128 128 42 41 199 200 30.1 30.1 55.8 56.7 2013 28 30 127 127 42 42 197 198 30.2 30.2 28.1 56.4 57.2 2014 27 29 127 127 44 43 197 199 30.3 30.3 28.3 57.4 58.5 2015 (p) 25 28 124 124 43 43 192 195 30.4 30.4 28.5 57.9 59.1 2016 (p) 24 26 121 122 44 43 189 192 30.6 30.5 28.5 58.5 59.7 2017 (p) 22 25 120 120 44 44 186 189 30.7 30.5 28.7 58.6 59.9 2018 (p) 22 24 118 119 44 44 184 187 30.7 30.6 60.3

Fertility since 1970

(p): Provisional results, end 2018.
Coverage: Metropolitan France or whole of France. From 2014, whole of France including Mayotte.
Source: INSEE (1) 1970–1995: metropolitan France, Laurent Toulemon, from EHF (Study of Family History) 1999; 2000: estimate based on vital records; 2004–2010: Davie and Niel (2012) Table 3; from 2013: Eurostat (supplied by INSEE).
Table A.5

Cohort fertility: cumulative fertility up to selected ages, estimated completed fertility (mean number of children per 100 women), and mean age at childbearing (in years)

Table A.5
Cumulative fertility per 100 women (age in completed years) Projection at constant rate* Birth cohort 24 29 34 39 Completed Mean age fertility at childbearing 1930 90 177 231 256 263 27.5 1935 89 181 233 254 258 27.1 1940 96 181 225 238 241 26.4 1945 99 174 206 219 222 26.0 1950 89 154 192 207 211 26.5 1955 77 148 190 209 213 27.0 1960 66 139 184 206 212 27.7 1965 49 118 170 196 204 28.7 1970 37 103 162 192 200 29.5 1975 30 96 161 194 203 30.0 1976 30 95 160 194 203 30.1 1977 31 96 161 196 205 30.1 1978 31 95 162 196 205 30.1 1979 31 96 163 196 207 30.1 1980 31 95 161 205 30.1 1981 32 96 162 205 30.1 1982 32 96 162 205 30.1 1983 31 95 160 205 30.1 1984 32 95 160 1985 31 94 1986 31 94 1987 31 92 1988 30 89 1989 30 87 1990 29 1991 28 1992 27 1993 26 1994 25

Cohort fertility: cumulative fertility up to selected ages, estimated completed fertility (mean number of children per 100 women), and mean age at childbearing (in years)

* For the 1930–1967 cohorts, observed completed fertility and mean age at childbearing; for later cohorts, unobserved rates are assumed equal to rates observed at the same age in 2017.
Coverage: Metropolitan France.
Source: Calculations and estimates based on data from INSEE, Demographic Surveys and Studies Division.
Table A.6

Total fertility rate in Europe (mean number of children per woman)

Table A.6
Year 1980 1985 1990 1995 2000 2005 2010 2015 2016 2017 Austria 1.65 1.47 1.46 1.42 1.36 1.41 1.44 1.49 1.53 1.52 Belgium 1.68 1.51 1.62 1.56 1.67 1.76 1.86 1.70 1.68 1.65 Bulgaria 2.05 1.97 1.82 1.23 1.26 1.37 1.57 1.53 1.54 1.56 Croatia 1.50 1.55 1.48 1.51 1.46 1.50 1.55 1.40 1.42 1.42 Cyprus — 2.43 2.41 2.03 1.64 1.48 1.44 1.32 1.37 1.32 Czech Republic 2.08 1.95 1.90 1.28 1.15 1.29 1.51 1.57 1.63 1.69 Denmark 1.55 1.45 1.67 1.80 1.77 1.80 1.87 1.71 1.79 1.75 Estonia 2.02 2.13 2.05 1.38 1.36 1.52 1.72 1.58 1.60 1.59 Finland 1.63 1.64 1.78 1.81 1.73 1.80 1.87 1.65 1.57 1.49 France* 1.95 1.81 1.78 1.71 1.89 1.94 2.03 1.96 1.92 1.87 Germany 1.56 1.37 1.45 1.25 1.38 1.34 1.39 1.50 1.6 1.57 Greece 2.23 1.67 1.39 1.28 1.25 1.34 1.48 1.33 1.38 1.35 Hungary 1.91 1.85 1.87 1.57 1.32 1.31 1.25 1.45 1.53 1.54 Ireland 3.21 2.48 2.11 1.84 1.89 1.86 2.05 1.85 1.81 1.77 Italy 1.64 1.42 1.33 1.19 1.26 1.34 1.46 1.35 1.34 1.32 Latvia — — — — 1.25 1.35 1.36 1.70 1.74 1.69 Lithuania 1.99 2.08 2.03 1.55 1.39 1.29 1.50 1.70 1.69 1.63 Luxembourg 1.50 1.38 1.60 1.70 1.76 1.63 1.63 1.47 1.41 1.39 Malta 1.99 1.95 2.04 1.77 1.68 1.38 1.36 1.37 1.37 1.26 Netherlands 1.60 1.51 1.62 1.53 1.72 1.71 1.79 1.66 1.66 1.62 Poland — — 2.06 1.62 1.37 1.24 1.41 1.32 1.39 1.48 Portugal 2.25 1.72 1.56 1.41 1.55 1.41 1.39 1.31 1.36 1.38 Romania 2.43 2.31 1.83 1.33 1.31 1.40 1.59 1.58 1.64 1.71 Slovakia 2.32 2.26 2.09 1.52 1.30 1.27 1.43 1.40 1.48 1.52 Slovenia - 1.71 1.46 1.29 1.26 1.26 1.57 1.57 1.58 1.62 Spain 2.20 1.64 1.36 1.16 1.22 1.33 1.37 1.33 1.34 1.31 Sweden 1.68 1.74 2.13 1.73 1.54 1.77 1.98 1.85 1.85 1.78 United Kingdom 1.90 1.79 1.83 1.71 1.64 1.76 1.92 1.80 1.79 1.74 Iceland 2.48 1.93 2.30 2.08 2.08 2.05 2.20 1.80 1.74 1.71 Norway 1.72 1.68 1.93 1.87 1.85 1.84 1.95 1.72 1.71 1.62 Switzerland 1.55 1.52 1.58 1.48 1.50 1.42 1.52 1.54 1.54 1.52

Total fertility rate in Europe (mean number of children per woman)

* France: data for metropolitan France up to 1995 and whole of France thereafter.
Source: Eurostat (site accessed July 2019), and INSEE data for France.
Table A.7

Cohort fertility in Europe

Table A.7
Completed fertility (per woman) Mean age at childbearing (years) Last Birth cohort 1954– 1959– 1964– 1969– 1974– 1954– 1959– 1964– 1969– 1974– available 1955 1960 1965 1970 1975(1) 1955 1960 1965 1970 1975(1) year Austria 1.77 1.71 1.66 1.61 1.63–1.64 25.8 26.5 27.3 28.2 28.8–28.9 2010 Belgium 1.83 1.87 1.84 1.84 1.83–1.87 26.7 27.4 28.3 29.2 29.6–29.8 2009 Bulgaria 2.04 1.96 1.84 1.66 1.56 24.0 23.7 23.6 24.3 26.0 2010 Czech Rep. 2.08 2.03 1.95 1.87 1.77–1.78 24.5 24.5 24.9 25.7 27.7–27.9 2010 Estonia 1.91 1.83–1.86 26.4 27.7–27.9 2010 Denmark 1.84 1.88 1.93 1.98 1.96–1.98 27.2 28.4 29.2 29.7 30.2–30.3 2010 Finland 1.88 1.95 1.92 1.89 1.89–1.90 27.9 28.6 29.2 29.6 30.0–30.1 2010 France (metro.) 2.13 2.12 2.04 1.99 2.01–2.04 27.0 27.6 28.6 29.5 29.9–30.1 2010 Germany 1.66 1.66 1.56 1.50 1.54–1.56 26.4 27.1 28.1 29.0 29.5–29.6 2010 Greece 2.02 1.97 1.79 1.64 1.55–1.58 25.9 26.0 27.0 28.7 29.9–30.0 2010 Hungary 1.96 2.02 1.98 1.88 1.70–1.71 24.9 25.0 25.5 26.4 27.7–27.8 2010 Ireland 2.21 2.12 2.06–2.12 30.2 31.0 31.3–31.6 2010 Italy 1.80 1.69 1.55 1.47 1.42–1.45 27.1 27.9 29.3 30.6 31.2–31.4 2010 Latvia(2) — — — — — — — — — — — Lithuania 1.97 1.92 1.72 1.77 1.72–1.73 26.3 26.0 26.1 26.0 26.8 Luxembourg 1.67 1.75 1.83 1.85 1.80–1.82 27.6 28.6 29.2 29.7 29.9–30.0 2010 Netherlands 1.88 1.86 1.79 1.77 1.78–1.80 28.1 29.2 30.0 30.6 30.7–30.8 2010 Poland 1.85 1.61–1.62 26.1 27.3–27.4 2010 Portugal 2.03 1.90 1.83 1.69 1.57–1.58 26.2 26.4 27.4 28.3 29.0–29.1 2010 Romania 2.33 2.16 1.94 1.63 1.55 25.0 24.5 24.2 25.2 26.2–26.3 2010 Slovakia 2.23 2.17 2.05 1.92 1.73 25.2 25.0 25.0 25.4 26.8 2010 Slovenia 1.79 1.71 1.66–1.67 25.9 27.3 28.9–29.0 2010 Spain 1.93 1.80 1.65 1.50 1.37–1.41 27.2 27.8 29.2 30.6 31.6–31.8 2010 Sweden 2.02 2.05 2.03 1.98 1.96–1.99 27.9 28.6 28.9 29.6 30.6–30.7 2010 United Kingdom 2.01 1.97 1.92 1.88 1.90–1.93 27.1 27.8 28.4 28.9 29.4–29.5 2010 Iceland 2.55 2.46 2.39 2.32 2.26–2.27 26.6 27.4 28.0 28.4 29.3–29.4 2010 Norway 2.05 2.09 2.07 2.05 2.00–2.01 27.0 28.0 28.6 29.1 29.7–29.8 2010 Switzerland 1.75 1.78 1.69 1.65 1.63–1.65 28.0 28.7 29.5 30.2 30.7–30.8 2010

Cohort fertility in Europe

(1) The estimate is based on rates that remain unchanged with respect to the last observation year.
(2) The series of published rates (2002–2010) cannot be used to calculate and estimate completed fertility.
Sources: Calculations and estimations based on age-specific fertility rates published on the Eurostat website (not available since 2012).
Table A.8

Number of induced abortions and annual indicators since 1976

Table A.8
Number of abortions Abortions + Year recorded Abortions (2) reported in in SAE Abortions estimated by INED(3) Abortions per 100 live births(4) Abortion rate per 1,000 women aged 15–49(4) Mean number of abortions per woman(4) notifications(1) 1976 134,173 246,000 34.1 19.6 0.66 1981 180,695 245,000 30.4 18.7 0.62 1986 166,797 221,000 28.4 16.1 0.53 1991 172,152 206,000 27.1 14.4 0.48 1996 162,792 246,000 207,000 28.2 14.2 0.50 2001 245,000 206,000 26.7 14.3 0.51 2006 174,561 221,000 27.0 14.9 0.53 2007 185,498 206,000 27.1 14.7 0.53 2008 180,108 207,000 26.3 14.5 0.52 2009 171,152 206,000 26.5 14.6 0.53 2010 172,505 213,317 26.4 14.8 0.53 2011 170,081 209,291 26.4 14.7 0.53 2012 156,824 207,120 26.2 14.5 0.53 2013 149,579 216,697 26.7 15.3 0.55 2014 126,464 211,764 27.1 15.0 0.55 2015 203,463 26.7 14.5 0.52 2016 197,800 26.6 13.9 0.51 2017 204,000 27.9 14.4 2018 (p) 209,522 29.1 15.0

Number of induced abortions and annual indicators since 1976

(p): Provisional results.
(1) Statistics from notifications including elective and therapeutic abortions.
(2) Administrative statistics based on recorded medical procedures. Data from 2010 includes data from the CNAM-TS and takes account of abortions covered by specific health insurance funds (MSA and RSI).
Source: DREES and CNAM-TS from 2010.
(3) INED estimate (elective abortions). From 2002, the hospital statistics are considered exhaustive.
Source: C. Rossier and C. Pirus (2007).
(4) Based on INED statistics up to 2001 and on hospital statistics from 2002.
Coverage: Metropolitan France.
Table A.9

Characteristics of nuptiality, PACS unions, and divorce since 1985

Table A.9
Year Number of marriages Total first-marriage rate Mean age at first marriage (based on rates) Number of divorces(3) Total divorce rate per 100 marriages Number of PACS unions Number of PACS dissolutions Metropolitan France Whole of France (incl. DOMS and Mayotte from 2014). Overall rate by age(1) Overall probability by age(2) Men Women Metro. France Whole of France Metro. France Whole of France Metro. France Whole of France Different-sex Overall Different-sex Overall Men Women Men Women 1985 269,419 0.53 0.54 0.71 0.74 26.3 24.2 107,505 30.5 1990 287,099 0.55 0.56 0.69 0.72 27.6 25.6 105,813 32.1 1995 254,651 261,813 0.48 0.50 0.61 0.64 28.9 26.9 119,189 121,946 38.2 2000 297,922 305,234 0.58 0.60 0.66 0.69 30.2 28.0 114,005 116,723 38.2 22,108 22,271 620 624 2001 288,255 295,720 0.57 0.59 0.64 0.68 30.2 28.1 112,631 115,388 38.0 19,410 19,629 1,859 1,872 2002 279,087 286,169 0.55 0.57 0.63 0.66 30.4 28.3 115,861 118,686 39.2 24,979 25,305 3,143 3,185 2003 275,963 282,756 0.55 0.56 0.62 0.65 30.6 28.5 125,175 127,966 42.5 31,161 31,570 5,229 5,292 2004 271,598 278,439 0.53 0.55 0.61 0.64 30.8 28.8 131,335 134,601 44.8 39,576 40,080 6,935 7,043 2005 276,303 283,036 0.54 0.55 0.61 0.64 31.1 29.1 152,020 155,253 52.3 59,837 60,462 8,564 8,690 2006 267,260 273,914 0.52 0.53 0.59 0.62 31.2 29.2 135,910 139,147 46.9 76,680 77,347 9,470 9,583 2007 267,194 273,669 0.51 0.52 0.59 0.62 31.4 29.5 131,316 134,477 45.5 101,062 101,992 22,908 23,132 2008 258,749 265,404 0.50 0.51 0.57 0.60 31.6 29.6 129,379 132,594 45.1 144,782 145,938 25,585 25,802 2009 245,151 251,478 0.47 0.48 0.55 0.58 31.7 29.8 127,578 130,601 44.7 173,180 174,584 32,411 32,711 2010 245,334 251,654 0.47 0.48 0.54 0.58 31.8 30.0 130,810 133,909 46.2 203,959 205,561 43,250 43,628 2011 231,100 236,826 0.44 0.45 0.52 0.55 31.9 30.1 129,802 132,977 46.2 150,800 152,169 51,555 52,002 2012 239,840 245,930 0.46 0.47 0.53 0.56 32.0 30.2 125,217 128,371 45.0 159,195 160,639 60,950 61,507 2013 225,784 233,108 231,225 238,592 0.44 0.45 0.52 0.55 32.4 30.6 121,849 124,948 44.2 167,123 168,682 68,933 69,540 2014 224,878 235,315 230,770 241,292 0.45 0.45 0.52 0.55 32.6 30.9 120,568 123,537 44.1 172,026 173,731 75,646 76,267 2015 222,664 230,364 228,565 236,316 0.44 0.45 0.51 0.53 32.7 31.0 120,731 123,668 44.7 187,248 188,947 78,725 79,386 2016 (p) 219,549 226,614 225,612 232,725 0.43 0.44 0.49 0.50 32.9 31.2 124,768 128,043 46.7 189,756 191,537 83,937 84,662 2017 (p) 220,582 227,758 226,671 233,915 0.43 0.44 0.49 0.50 33.0 31.4 88,146(4) 90,613(4) 33.1 193,950 82,345 2018 (p) 229,000 235,000

Characteristics of nuptiality, PACS unions, and divorce since 1985

(p): Provisional data.
(1) Ratio of number of first marriages to number of persons of same age, summed to age 49.
(2) Ratio of number of first marriages to (estimated) number of never-married persons at the same age, summed to age 49.
(3) Direct divorces and separations converted into divorces.
(4) By virtue of law no. 2016-1547 of 18 November 2016, divorce requests can also be filed before a notary. These divorces are not included in the above table so the figures for 2017 are incomplete.
Coverage: Metropolitan France and whole of France.
Source: INSEE, Demographic Surveys and Studies Division; French Ministry of Justice.
Table A.10A -

Characteristics of nuptiality by birth cohort

Men

tableau im58
Male cohorts Proportion ever- married at age 49* Mean age at first marriage (years)* Proportion At age 25 ever-married At age 30 1955 0.83 26.4 0.55 0.72 1960 0.77 27.1 0.39 0.60 1965 0.71 28.9 0.25 0.48 1970 0.66 30.1 0.15 0.40 1975 0.61 31.0 0.10 0.35 1980 0.55 31.8 0.08 0.28 1985 0.06 0.23 1990* 0.05 0.19

Men

Women

tableau im59
Male cohorts Proportion ever-married at age 49* Mean age at first marriage (years)* Proportion At age 25 ever-married At age 30 1955 0.88 22.9 0.71 0.81 1960 0.82 24.2 0.59 0.72 1965 0.76 26.3 0.43 0.60 1970 0.71 27.8 0.30 0.52 1975 0.67 28.9 0.23 0.46 1980 0.61 29.7 0.18 0.39 1985 0.14 0.32 1990* 0.10 0.26

Women

* Unobserved marriage probabilities are estimated as the average of the 3 preceding years.
Coverage: Metropolitan France.

Characteristics of nuptiality by birth cohort

Source: Calculations and estimates based on INSEE data.
Table A.10B

Divorce in marriage cohorts (number of marriages dissolved at different marriage durations for an initial total of 100 marriages)

Table A.10B
Year of marriage 3 5 Marriage duration (years) 10 15 20 25 30 35 40 Divorce intensity* (divorces per 100 Mean marriage duration* at divorce marriages) (years) 1970 1.6 3.6 9.7 15.2 20.0 23.7 26.1 27.7 28.7 28.7 15.6 1975 2.3 5.2 12.5 18.5 23.3 27.2 29.8 31.5 32.5 32.5 14.8 1980 2.9 6.5 14.3 20.7 26.0 30.2 33.1 34.8 35.7 14.4 1985 3.4 7.1 15.7 22.7 28.4 33.0 35.9 38.6 14.2 1990 3.8 8.2 17.8 25.5 31.6 36.2 41.8 13.7 1995 3.4 7.6 18.0 25.8 32.0 42.2 13.8 2000 4.2 10.0 20.8 28.9 45.4 13.2 2005 4.4 9.6 20.5 45.1 13.2 2010 4.1 8.9

Divorce in marriage cohorts (number of marriages dissolved at different marriage durations for an initial total of 100 marriages)

* Intensity and mean duration calculated by applying the rates observed in the previous cohorts through to the longest marriage durations.
Coverage: Metropolitan France.
Sources: Ministry of Justice, INSEE, civil records.
Table A.11

Characteristics of overall mortality, 1946–2018

Table A.11
Mortality rate Survivors at age 65 Life expectancy (years) (per 1,000 live births) (per 1,000 at birth) Year At birth At age 65 Infant(1) Neonatal(2) Males Females Males Females Males Females 1946 59.9 65.2 12.2 14.3 77.8 n/a 574 681 1947 61.2 66.7 12.3 14.5 71.1 n/a 589 703 1948 62.7 68.8 12.5 15.0 55.9 n/a 599 727 1949 62.2 67.6 11.8 14.0 60.3 n/a 595 716 1950 63.4 69.2 12.2 14.6 52.0 26.0 609 736 1951 63.1 68.9 11.8 14.2 50.8 24.0 602 732 1952 64.4 70.2 12.3 14.8 45.2 22.4 623 752 1953 64.3 70.3 11.8 14.4 41.9 22.0 617 753 1954 65.0 71.2 12.4 15.1 40.7 21.6 629 765 1955 65.2 71.5 12.3 15.1 38.6 20.8 631 772 1956 65.2 71.7 12.1 14.9 36.2 20.5 626 776 1957 65.5 72.2 12.2 15.2 33.8 19.5 631 783 1958 66.8 73.2 12.8 15.6 31.4 18.9 660 801 1959 66.8 73.4 12.8 15.7 29.6 18.1 657 801 1960 67.0 73.6 12.6 15.6 27.4 17.6 658 806 1961 67.5 74.4 13.0 16.1 25.7 16.7 664 815 1962 67.0 73.9 12.6 15.7 25.7 16.7 656 811 1963 66.8 73.9 12.4 15.6 25.6 16.6 652 810 1964 67.7 74.8 12.9 16.4 23.4 15.9 667 820 1965 67.5 74.7 12.6 16.2 21.9 15.2 661 820 1966 67.8 75.2 12.9 16.5 21.7 14.9 669 824 1967 67.8 75.2 12.8 16.5 20.7 14.5 668 826 1968 67.8 75.2 12.7 16.4 20.4 14.2 669 827 1969 67.4 75.1 12.5 16.3 19.6 13.7 661 824 1970 68.4 75.9 13.0 16.8 18.2 12.6 682 834 1971 68.3 75.9 13.0 16.8 17.2 12.0 680 836 1972 68.5 76.2 13.1 17.0 16.0 11.2 683 838 1973 68.7 76.3 13.1 17.0 15.4 10.6 688 842 1974 68.9 76.7 13.3 17.2 14.6 9.9 690 847 1975 69.0 76.9 13.2 17.2 13.8 9.2 691 849 1976 69.2 77.2 13.3 17.4 12.5 8.1 693 853 1977 69.7 77.8 13.7 17.9 11.4 7.4 702 860 1978 69.8 78.0 13.7 17.9 10.7 6.7 704 861 1979 70.1 78.3 13.9 18.1 10.0 6.0 707 864 1980 70.2 78.4 14.0 18.2 10.0 5.8 710 866 1981 70.4 78.5 14.0 18.2 9.7 5.5 714 869 1982 70.7 78.9 14.3 18.5 9.5 5.3 718 872 1983 70.7 78.8 14.2 18.4 9.1 5.0 719 872 1984 71.2 79.3 14.5 18.8 8.3 4.7 724 878 1985 71.3 79.4 14.5 18.8 8.3 4.6 727 880

Characteristics of overall mortality, 1946–2018

tableau im62
Life expectancy (years) Mortality rate (per 1,000 live births) Survivors at age 65 (per 1,000 at birth) Year At birth At age 65 Infant(1) Neonatal(2) Males Females Males Females Males Females 1986 71.5 79.7 14.7 19.0 8.0 4.3 731 882 1987 72.0 80.3 15.0 19.4 7.8 4.1 740 886 1988 72.3 80.5 15.3 19.6 7.8 4.1 744 888 1989 72.5 80.6 15.4 19.7 7.5 3.8 746 889 1990 72.7 81.0 15.6 19.9 7.3 3.6 752 893 1991 72.9 81.2 15.7 20.1 7.3 3.5 754 894 1992 73.2 81.5 15.9 20.4 6.8 3.3 758 896 1993 73.3 81.5 15.9 20.4 6.5 3.1 760 895 1994 73.7 81.9 16.2 20.7 5.9 3.2 766 898 1995 73.9 81.9 16.1 20.6 4.9 2.9 771 900 1996 74.1 82.1 16.1 20.7 4.8 3.0 776 901 1997 74.6 82.3 16.3 20.9 4.7 3.0 784 904 1998 74.8 82.4 16.4 20.9 4.6 2.9 789 905 1999 75.0 82.5 16.5 21.0 4.3 2.7 793 906 2000 75.3 82.8 16.7 21.2 4.4 2.8 797 908 2001 75.5 82.9 16.9 21.4 4.5 2.9 799 908 2002 75.8 83.1 17.1 21.4 4.1 2.7 802 909 2003 75.9 83.0 17.1 21.3 4.0 2.6 804 910 2004 76.7 83.9 17.7 22.2 3.9 2.6 815 913 2005 76.8 83.9 17.7 22.0 3.6 2.3 816 914 2006 77.2 84.2 18.0 22.4 3.6 2.3 820 915 2007 77.4 84.4 18.2 22.5 3.6 2.4 823 917 2008 77.6 84.4 18.3 22.5 3.6 2.4 825 917 2009 77.8 84.5 18.4 22.6 3.7 2.4 826 917 2010 78.0 84.7 18.6 22.7 3.5 2.3 829 918 2011 78.4 85.0 18.9 23.0 3.3 2.2 834 920 2012 78.5 84.8 18.8 22.8 3.3 2.3 836 921 2013 78.8 85.0 19.0 23.0 3.5 2.4 840 922 2014 79.3 85.4 19.4 23.3 3.3 2.3 846 923 2015 79.0 85.1 19.1 23.0 3.5 2.5 844 923 2016 (p) 79.3 85.3 19.3 23.2 3.5 2.5 847 924 2017 (p) 79.4 85.3 19.4 23.2 3.6 2.7 850 923 2018 (p) 79.5 85.4 19.4 23.2 3.6 n/a n/a n/a
(p): Provisional data.
n/a: Not available.
(1) Deaths under one year per 1,000 live births.
(2) Deaths under 28 days per 1,000 live births.
Coverage: Metropolitan France.
Source: INSEE, Demographic Surveys and Studies Division.
Table A.12

Life expectancy at birth in Europe in 2017

Table A.12
Life expectancy at birth (years) Country Males Females Difference (F – M) Austria 79.4 84.0 4.6 Belgium 79.2 83.9 4.7 Bulgaria 71.4 78.4 7.0 Croatia 74.9 81.0 6.1 Czech Republic 76.1 82.0 5.9 Denmark 79.2 83.1 3.9 Estonia 73.8 82.6 8.8 Finland 78.9 84.5 5.6 Whole of France (including Mayotte) 79.4 85.2 5.8 Germany 78.7 83.4 4.7 Greece 78.8 83.9 5.1 Hungary 72.5 79.3 6.8 Iceland 81.1 84.3 3.2 Ireland 80.4 84.0 3.6 Italy 80.8 85.2 4.4 Latvia 69.8 79.7 9.9 Lithuania 70.7 80.5 9.8 Luxembourg 79.9 84.4 4.5 Netherlands 80.2 83.4 3.2 Norway 81.0 84.3 3.3 Poland 73.9 81.8 7.9 Portugal 78.4 84.6 6.2 Romania 71.7 79.1 7.4 Slovakia 73.8 80.7 6.9 Slovenia 78.2 84.0 5.8 Spain 80.6 86.1 5.5 Sweden 80.8 84.1 3.3 Switzerland 81.6 85.6 4.0 United Kingdom 79.5 83.1 3.6

Life expectancy at birth in Europe in 2017

Table A.13

Infant mortality in Europe 1980-2017 (rate per 1,000 live births)

Table A.13
Country 1980 1985 1990 1995 2000 2005 2010 2011 2012 2013 2014 2015 2016 2017 Austria 14.3 11.2 7.8 5.4 4.8 4.2 3.9 3.6 3.2 3.1 3.0 3.1 3.1 2.9 Belgium 12.1 9.8 8.0 6.0 4.8 3.7 3.6 3.3 3.8 3.5 3.4 3.3 3.2 3.6 Bulgaria 20.2 15.4 14.8 13.3 13.3 10.4 9.4 8.5 7.8 7.3 7.6 6.6 6.5 6.4 Croatia n/a n/a n/a n/a 7.4 5.7 4.4 4.7 3.6 4.1 5.0 4.1 4.3 4.0 Czech Republic 16.9 12.5 10.8 7.7 4.1 3.4 2.7 2.7 2.6 2.5 2.4 2.5 2.8 2.7 Denmark 8.4 7.9 7.5 5.1 5.3 4.4 3.4 3.5 3.4 3.5 4.0 3.7 3.1 3.8 Estonia 17.1 14.1 12.3 14.9 8.4 5.4 3.3 2.5 3.6 2.1 2.7 2.5 2.3 2.3 Finland 7.6 6.3 5.6 3.9 3.8 3.0 2.3 2.4 2.4 1.8 2.2 1.7 1.9 2.0 Metropolitan France(1) 10.0 8.3 7.3 4.9 4.4 3.6 3.5 3.3 3.3 3.5 3.3 3.5 3.5 3.6 Whole of France(1) n/a n/a n/a 5.0 4.5 3.8 3.6 3.5 3.5 3.6 3.6 3.7 3.7 3.9 Germany 12.4 9.1 7.0 5.3 4.4 3.9 3.4 3.6 3.3 3.3 3.2 3.3 3.4 3.3 Greece 17.9 14.1 9.7 8.1 5.9 3.8 3.8 3.4 2.9 3.7 3.7 4.0 4.2 3.5 Hungary 23.2 20.4 14.8 10.7 9.2 6.2 5.3 4.9 4.9 5.0 4.5 4.2 3.9 3.5 Iceland 7.7 5.7 5.9 6.1 3.0 2.3 2.2 0.9 1.1 1.8 2.1 2.2 0.7 2.7 Ireland 11.1 8.8 8.2 6.4 6.2 4.0 3.8 3.5 3.5 3.5 3.3 3.4 3.0 3.0 Italy 14.6 10.5 8.2 6.2 4.5 3.8 3.2 3.2 2.9 2.9 2.8 2.9 2.8 2.7 Latvia 15.3 13.0 13.7 18.8 10.4 7.8 5.7 6.6 6.3 4.4 3.8 4.1 3.7 4.1 Lithuania 14.5 14.2 10.2 12.5 8.6 6.8 4.3 4.2 3.9 3.7 3.9 4.2 4.5 3.0 Luxembourg 11.5 9.0 7.3 5.5 5.1 2.6 3.4 4.3 2.5 3.9 2.8 2.8 3.8 3.2 Netherlands 8.6 8.0 7.1 5.5 5.1 4.9 3.8 3.6 3.7 3.8 3.6 3.3 3.5 3.6 Norway 8.1 8.5 6.9 4.0 3.8 3.1 2.8 2.4 2.5 2.4 2.4 2.3 2.2 2.3 Poland 25.4 22.1 19.4 13.6 8.1 6.4 5.0 4.7 4.6 4.6 4.2 4.0 4.0 4.0 Portugal 24.2 17.8 11.0 7.5 5.5 3.5 2.5 3.1 3.4 2.9 2.9 2.9 3.2 2.7 Romania 29.3 25.6 26.9 21.2 18.6 15.0 9.8 9.4 9.0 9.2 8.4 7.6 7.0 6.7 Slovakia 20.9 16.3 12.0 11.0 8.6 7.2 5.7 4.9 5.8 5.5 5.8 5.1 5.4 4.5 Slovenia 15.3 13.0 8.4 5.5 4.9 4.1 2.5 2.9 1.6 2.9 1.8 1.6 2.0 2.1 Spain 12.3 8.9 7.6 5.5 4.4 3.8 3.2 3.1 3.1 2.7 2.8 2.7 2.7 2.7 Sweden 6.9 6.8 6.0 4.1 3.4 2.4 2.5 2.1 2.6 2.7 2.2 2.5 2.5 2.4 Switzerland 9.0 6.7 6.7 5.0 5.3 4.2 3.8 3.8 3.6 3.9 3.9 3.9 3.6 3.5 United Kingdom 13.9 11.1 7.9 6.2 5.6 5.1 4.2 4.2 4.0 3.9 3.9 3.9 3.8 3.9

Infant mortality in Europe 1980-2017 (rate per 1,000 live births)

(1) INSEE for the whole of France between 1995 and 2017 (excluding Mayotte until 2014) and for metropolitan France between 2010 and 2017.
n/a: Not available.
Table A.14

Standardized mortality rate (per 100,000) by sex and group of causes of death(a)

Males

tableau im65
Causes of death 1980 1985 1990 1995 2000 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 23 groups of causes Lung cancer 63 67 70 70 66 64 63 62 60 60 58 58 56 55 54 54 52 Stomach cancer 20 17 14 12 10 8 8 8 7 7 7 7 7 7 7 6 6 Cancer of the intestine 31 29 29 28 25 24 23 22 22 22 22 21 21 20 20 20 19 Prostate cancer 28 30 32 29 26 23 22 22 21 20 20 19 18 17 16 16 16 Other cancers 176 180 171 160 152 139 136 134 131 129 125 121 119 116 116 115 113 Ischaemic heart diseases 117 118 96 85 76 62 58 56 54 51 48 46 45 43 40 41 39 Other heart diseases 130 115 93 90 81 71 69 69 68 66 64 59 58 57 54 55 53 Cerebrovascular diseases 123 103 71 59 47 37 35 34 33 31 30 29 28 27 25 25 25 Other diseases of the circulatory system 38 35 29 26 21 16 16 15 15 13 13 11 11 10 10 10 9 Tuberculosis (all forms) 5 3 2 2 2 1 1 1 1 1 1 1 0 1 0 0 0 AIDS 0 0 8 13 3 2 2 2 2 1 1 1 1 1 1 1 1 Influenza 2 2 3 1 2 1 0 0 0 0 0 0 1 1 0 1 1 Other infectious and parasitic diseases 11 12 10 11 12 11 11 11 11 11 11 11 11 10 9 10 9 Other respiratory diseases 83 79 71 69 53 47 42 42 42 42 39 39 40 39 36 39 38 Alcoholism and cirrhosis of the liver 56 46 35 29 28 24 24 23 23 22 22 21 20 19 18 18 18 Diabetes 11 11 9 9 15 14 13 13 13 13 12 12 12 12 11 12 11 Other mental disorders and diseases 28 28 31 30 40 42 41 41 42 42 42 41 43 42 40 44 44 Diseases of the digestive system 41 35 29 25 20 19 19 18 18 18 18 16 16 16 15 15 16 Other diseases 56 50 40 37 36 32 32 31 32 31 31 27 28 28 26 29 28 Transport accidents 30 26 26 20 19 13 12 12 11 11 10 9 8 7 7 7 7 Suicides 29 34 30 29 26 25 24 23 23 24 23 23 21 21 19 20 19 Other deaths from external causes 63 54 51 44 36 31 31 31 31 31 31 30 30 29 28 31 31 Unreported or ill-defined causes of death 74 70 56 48 46 45 43 44 46 47 55 53 60 59 53 55 55 6 broad groups of causes Neoplasms 318 324 317 300 280 258 251 247 241 239 232 226 220 216 213 211 208 Cardiovascular diseases 409 371 288 260 225 187 177 173 169 161 156 145 142 137 129 131 127 Infectious and parasitic diseases, diseases of the respiratory system 101 97 95 95 72 62 56 56 56 55 52 53 54 51 47 51 49 Other diseases 193 169 143 131 138 132 129 126 128 126 124 118 120 117 111 118 117 Deaths from external causes 123 114 106 93 81 69 67 66 66 66 64 63 60 57 55 57 56 Unspecified or ill-defined causes of death 74 70 56 48 46 45 43 44 46 47 55 53 60 59 53 55 55 All causes 1,217 1,145 1,005 928 842 753 723 713 705 694 684 657 656 638 608 624 612

Males

Females

tableau im66
Causes of death 1980 1985 1990 1995 2000 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 23 groups of causes Lung cancer 6 7 8 9 10 14 14 15 15 16 16 16 17 17 18 18 18 Stomach cancer 9 7 6 5 4 3 3 3 3 3 3 3 3 3 3 2 2 Cancer of the intestine 19 18 17 16 15 14 13 13 13 13 12 12 12 12 11 11 12 Breast cancer 27 28 29 29 27 25 25 24 24 24 23 23 22 22 22 22 22 Cancer of the uterus 11 10 8 7 6 6 6 6 6 6 6 6 6 6 6 6 6 Other cancers 76 74 70 69 67 63 62 60 61 60 59 57 56 56 56 57 57 Ischaemic heart diseases 51 51 42 35 30 23 22 21 20 19 17 16 16 15 14 14 13 Other heart diseases 93 81 64 61 54 47 45 45 45 44 42 39 39 38 36 37 35 Cerebrovascular diseases 88 74 52 41 33 26 25 23 23 23 22 21 21 20 19 19 18 Other diseases of the circulatory system 19 17 14 12 9 7 6 6 6 6 5 5 4 4 4 4 4 Tuberculosis (all forms) 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 AIDS 0 0 1 3 1 1 1 1 0 0 0 0 0 0 0 0 0 Influenza 2 2 2 1 1 1 0 0 0 0 0 0 0 1 0 1 1 Other infectious and parasitic diseases 7 7 6 7 8 7 6 6 7 7 7 7 7 6 6 6 5 Other respiratory diseases 33 33 31 30 24 21 18 19 19 19 17 18 20 18 17 20 19 Alcoholism and cirrhosis of the liver 19 15 12 10 9 8 8 7 7 7 6 7 6 6 5 5 5 Diabetes 10 9 8 7 10 9 8 8 8 8 7 7 7 7 6 7 6 Other mental disorders and diseases 22 22 24 24 32 33 33 33 34 34 33 34 36 36 34 36 36 Diseases of the digestive system 27 23 18 16 13 12 11 11 11 11 11 10 10 10 9 10 10 Other diseases 38 34 29 28 27 24 24 23 24 23 23 20 21 21 20 21 21 Transport accidents 10 9 9 7 6 4 3 3 3 3 3 2 2 2 2 2 2 Suicides 11 12 10 10 8 8 8 8 8 7 7 7 6 6 6 5 5 Other deaths from external causes 36 31 27 23 19 16 16 16 16 15 15 15 15 14 14 15 14 Unspecified or ill-defined causes of death 48 44 35 31 28 27 26 26 27 27 31 30 34 34 30 32 31 6 broad groups of causes Neoplasms 147 143 138 135 129 124 123 121 123 121 119 118 117 115 116 116 117 Cardiovascular diseases 250 223 172 148 126 104 98 95 95 91 86 81 80 77 73 74 71 Infectious and parasitic diseases, diseases of the respiratory system 43 43 42 41 34 30 26 26 27 27 25 26 28 26 24 27 26 Other diseases 116 103 91 85 91 85 84 83 84 83 81 77 80 79 75 79 78 Deaths from external causes 57 53 46 40 34 28 27 26 26 26 25 24 23 23 21 22 22 Unspecified or ill-defined causes of death 48 44 35 31 28 27 26 26 27 27 31 30 34 34 30 32 31 All causes 662 609 525 480 442 399 384 377 381 375 367 356 362 353 339 351 345

Females

(a) Standardized rate calculated from mortality rates by five-year age group (in completed years) and from the standard European population (according to the structure proposed by the WHO).
Thanks to a new analysis of INSERM data, the age groups now have the same definition for all years. The content of each group of causes of death is specified in Table A.15 on the next page (items of ICD-9 for 1980-1999 and of ICD-10 from 2000).
Coverage: Metropolitan France.

Standardized mortality rate (per 100,000) by sex and group of causes of death(a)

Source: Calculations by F. Meslé up to 2013 and by the authors since 2014 from CépiDc–INSERM data.
Table A.15

Cause-of-death categories and the corresponding codes in the International Classification of Diseases (ninth and tenth revisions)

Table A.15
ICD 9 ICD 10 Cancer 140 to 239 C00 to D48 Lung cancer 162 C33 to C34 Stomach cancer 151 C16 Cancer of the intestine 152 to 154 C18 to C21 Breast cancer 174, 175 C50 Cancer of the uterus 179 to 180; 182 C53 to C55 Prostate cancer 185 C61 Other cancers 140 to 150; 155 to 161; 163 to 173; 181; C00 to C15; C17; C22 to C32; C37 to C49; 183 to 184; 186 to 239 C51; C52; C56 to C60; C62 to D48 Cardiovascular diseases 390 to 459 I00 to I99 Ischaemic heart diseases 410 to 414 I20 to I25 Other heart diseases 390 to 405; 415 to 429 I00 to I15; I26 to I51 Cerebro-vascular diseases 430 to 438 I60 to I69 Other diseases of the circulatory system 440 to 459 I70 to I99 Infectious and parasitic diseases, diseases of the respiratory system 000 to 139; 460 to 519 A00 to B99; J00 to J98 Tuberculosis (all forms) 010 to 018 A15 to A19; B90 AIDS 042 to 044 B20 to B24 Influenza 487 J10 to J11 Other infectious and parasitic diseases of ICD Chapter I 001 to 009; 020 to 041; 045 to 139 A00 to A09; A20 to B19; B25 to B89; B91 to B99 Other diseases of the respiratory system 460 to 586; 490 to 519 J00 to J06; J12 to J98 Other diseases 240 to 389; 520 to 779 D50 to D89; E00 to H95; K00 to Q99 Alcoholism and cirrhosis of the liver 291; 303; 305.0; 571.0 to.3;.5 F10; K70; K73 to K74 Diabetes 250 E10 to E14 Other mental disorders and diseases of the nervous system 290; 292 to 302; 304; 305.1 to 389 F00 to F09; F11 to H95 Other diseases of the digestive system 520 to 570; 571.4; 571.6 to 579 K00 to K67; K71; K72; K75 to K93 Other diseases 240 to 246; 251 to 289; 580 to 779 D50 to D89; E00 to E07; E15 to E89; L00 to Q99 External causes 800 to 999 V01 to Y89 Transport accidents 810 to 819; 826 to 829 V01 to V99 Suicides 950 to 959 X60 to X84 Other deaths from external causes 800 to 807; 820 to 825; 830 to 949; 960 to 999 W00 to X59; X85 to Y89 Unspecified or ill-defined causes of death 780 to 799 R00 to R99 All causes 001 to 999 A00 to R99; V01 to Y89

Cause-of-death categories and the corresponding codes in the International Classification of Diseases (ninth and tenth revisions)

Notes

  • [1]
    These rates are not adjusted for migration (see note 2). After adjustment, the mean annual increase is just 1.5 per 1,000 for the whole of France and 1.3 per 1,000 for metropolitan France. These are the rates published by Eurostat and reported in Table 18.
  • [2]
    These adjustments were made after the questions in the census dwelling form were modified to facilitate the identification of individuals with more than one residence and thus avoid double counts. As of the 2019 annual census survey, they will no longer be necessary.
  • [3]
    It is difficult to measure trends for the whole of France because vital registration data for Mayotte were not published by INSEE before 2014. But as birth numbers have been increasing rapidly in French Guiana and Mayotte, the estimated decline between 2010 and 2018 is smaller when the overseas departments and regions are included.
  • [4]
    Immigrants are defined as persons born outside France to non-French parents, whether or not they subsequently acquire French nationality.
  • [5]
    Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, United Kingdom.
  • [6]
    The nationalities considered may vary from one demographic report to the next in response to legislative changes in rights of residence. Appendix Table A.3 takes account of changes in scope.
  • [7]
    The Ministry of the Interior also publishes a complementary series of migration flow statistics based on a count of all first residence permits issued to adults. Its scope is different in that it includes residence permits valid for less than 1 year which will not necessarily be renewed by a longer-term permit. It thus includes cases of temporary migration.
  • [8]
    Eurostat data are available online (http://ec.europa.eu/eurostat/en/data/database).
  • [9]
    This permit, called a document de circulation pour étranger mineur (travel document for a foreign national who is a minor), was instituted by a decree published on 24 December 1991.
  • [10]
    Foreign minors with a residency permit are included in this category.
  • [11]
    Admissions for humanitarian reasons only include people whose asylum application has been processed and approved, so this figure does not include all asylum seekers.
  • [12]
    At the time of writing, we have data for the first 5 months of 2019, enabling us to calculate 5-month moving averages centred on the median month (up to March 2019).
  • [13]
    Data for 2018 are not yet available on the Eurostat website, but the changes between 2017 and 2018 are small.
  • [14]
    The coefficient of variation, which measures the dispersion of a distribution, has fallen from 14.4 to 10.6.
  • [15]
    The mechanisms of decrease and increase of births at late ages are different. The decrease was due mainly to the disappearance of high order births, while the increase is explained mainly by the rise in age at childbearing.
  • [16]
    Continued fertility decline at ages 30–34 and discontinuation of the increase above age 35.
  • [17]
    The TFR is habitually compared with the completed fertility of the cohort born a years previously, a being the mean age at childbearing. Here, the TFR of the year 2012 is compared with the completed fertility of the cohort born in 1980 having a mean age at childbearing close to 32 years.
  • [18]
    With parity progression ratios of 0.80 from 0 to 1 child, of 0.72 from 1 to 2 children, and of 0.30 from 2 to 3 children. With these parity progression ratios, the total fertility resulting from first-, second-, and third-order births is 0.8 + 0.8*0.72 + 0.8*0.72*0.3 = 1.55 children. When fourth and higher births are added, it reaches 1.6.
  • [19]
    0.85 + 0.85*0.80 + 0.85*0.80*0.4 = 1.80, to which fourth and higher births must be added.
  • [20]
    The quality of birth-order information in the civil records is currently being assessed using data from the Permanent Demographic Sample. Almost 1 in 5 recorded first births are in fact second births (ongoing study by John Tomkinson and Didier Breton, forthcoming).
  • [21]
    Measured through specific analysis of civil records (whole of France, excluding Mayotte).
  • [22]
    The variable used to calculate statistics on children’s birth names has been available only since 2012 in the INSEE online databases.
  • [23]
    Under this clause, a physician can refuse to perform an abortion if he or she considers it to be contrary to his or her personal, professional, or ethical beliefs.
  • [24]
  • [25]
    For women living in rural areas, for example, or who fear that medical documents will be sent to their home.
  • [26]
    Non-hospital care is an emerging phenomenon. Midwives are now able to prescribe contraception and perform abortions, and the use of medical abortion is increasing.
  • [27]
    Women on Waves/Women on Web provide help to women without access to safe abortion services. Women can perform an abortion at home using mifepristone and misoprostol (before the 9th week of pregnancy). The aim is to prevent women from using unsure and unsafe methods, especially in countries where abortion is illegal.
  • [28]
    The law of 15 November 1999 authorized civil unions between both different-sex and same-sex partners. Source: Ministry of Justice / SG / SEM / SDSE / statistical analysis of the Répertoire général civil and the notarial database.
  • [29]
    Law of 17 May 2013 opening marriage to same-sex couples.
  • [30]
    The number of PACS unions fell in 2011 after a reform of the tax breaks applicable in the year of union registration (PACS or marriage).
  • [31]
    Further to this modification, INSEE is now responsible for collecting data on PACS unions. Couples can still register their PACS with a notary, as has been the case since 2011.
  • [32]
    The EPIC survey (Étude des parcours individuels et conjugaux) was conducted in metropolitan France in 2013–2014 on a sample of 7,825 women and men aged 25–65.
  • [33]
    A PACS union is automatically dissolved by the marriage of one or both partners. A PACS is generally dissolved by a marriage between the same partners, although in some cases one partner marries somebody else. This is impossible to verify because the information is not recorded either when the marriage is registered or when the PACS is dissolved. However, before 2013, a few dozen same-sex PACS unions were dissolved due to marriage each year, at a time when marriage between same-sex PACS partners was still impossible.
  • [34]
    On condition that the behaviour of this birth cohort beyond age 37 remains the same as that of previous birth cohorts observed over the most recent years for which data are available (2015–2017).
  • [35]
    Total period PACS rate by age (per 1,000 people) in a birth cohort from age 18.
  • [36]
    Law no. 2016-1547 of 18 November 2016 on the modernization of justice in the 21st century.
  • [37]
    As of 1 November 2017, PACS unions are now registered in municipal registry offices and no longer in magistrates’ courts, as was the case since 1999. Moreover, 2,057 fewer dissolutions were registered in the last 2 months of 2017 in municipal registry offices compared with those registered in the courts over the same period of 2016. Conversely, PACS dissolutions registered by notaries increased sharply between 2016 and 2017 (from 3,931 to 5,275, an increase of 34%).
  • [38]
    Available divorce data do not provide information on what happens to couples who were in a PACS before they married.
  • [39]
    Same-sex couples are able to marry in 14 of the 28 EU countries. The Netherlands was the first country to legalize same-sex marriage in 2001, followed by Belgium (2003), Spain (2005), Sweden (2009), the United Kingdom (2014), Ireland (2015), Germany, Finland, Luxembourg and Malta (2017), and Austria (2019). Other forms of partnership or civil union, distinct from marriage, exist in other countries, or are currently under discussion (Italy, Greece, and Slovenia, among others).
  • [40]
    Sum of divorce rates by marriage duration (up to durations where divorce becomes rare, 45 years in general), generally calculated with respect to the initial number of marriages.
  • [41]
    Applying the principle of mean cohort size (simplified here) as defined by G. Calot (1984).
  • [42]
    562,467 for the whole of France.
  • [43]
    Mean length of life decreased by almost 4 months in 2015. Life expectancy returned to its previous level in 2016 for males, but not until 2018 for females.
  • [44]
    Long time series are available only for metropolitan France.
English

On 1 January 2019, the population of France was nearly 67 million (66.99 million), representing 13.1% of the population of the European Union. The year 2018 was marked by a low number of births (759,000) and a number of deaths (614,000) that topped 600,000 for the first time since the Second World War. There was an increase in inflows from third countries whose nationals are required to hold a residence permit to live in France (237,742 people, +9% with respect to 2016). Men increasingly outnumber women in these inflows due to the growing share of predominantly male inflows from Africa and Asia. France has one of Europe’s lowest immigration rates. With a total fertility rate of 1.87 children per woman, France still ranks first in Europe in fertility. The total abortion rate was 0.5 per woman in 2018. The number of PACS unions is gradually catching up with the number of marriages (4 PACS for 5 marriages). The share of same-sex unions remained stable in 2017 (3.1% of all marriages, 3.8% of all PACS unions). Last, life expectancy is still increasing but at a slower pace. It is the highest in Europe for women but not for men, who are in ninth position. While France has an unusually low prevalence of deaths from cardiovascular diseases, the situation is much less favourable for mortality at younger ages, infant mortality in particular.

  • France
  • demographic situation
  • migration
  • fertility
  • partnerships
  • marriage
  • civil union
  • consensual union
  • divorce
  • dissolution
  • same-sex couple
  • ageing
  • mortality
  • mortality by cause of death
  • European comparisons
Français

L’évolution démographique récente de la France : une singularité en Europe ?

Le 1er janvier 2019, la France comptait tout juste 67 millions d’habitants (66,99) soit 13,1 % de la population de l’Union européenne des 28. L’année 2018 se caractérise par le faible nombre de naissances (759 000) et un nombre de décès qui dépasse 600 000 pour la première fois depuis l’après-guerre (614 000). Le flux d’entrées d’étrangers soumis à l’obligation d’un titre de séjour est en augmentation (237 742 personnes, + 9 % par rapport à 2016). Ce flux se masculinise du fait de la part croissante des personnes en provenance d’Afrique et d’Asie. La France se caractérise par un taux d’immigration parmi les plus faible d’Europe. Avec un indice conjoncturel de fécondité de 1,87 enfant par femme, la France reste le pays le plus fécond d’Europe. L’indice conjoncturel d’IVG est pour sa part de 0,56 par femme en 2018. Petit à petit, le nombre de pacs rejoint le nombre de mariages (4 pacs pour 5 mariages). Les unions entre personnes de même sexe représente une part stable en 2017 (3,1 % des mariages et 3,8 % des pacs). Enfin, l’espérance de vie augmente encore mais à un rythme ralentit. Elle est la plus élevée d’Europe pour les femmes, ce qui n’est pas le cas pour les hommes (9e). Si la France se démarque par une prévalence faible des décès par maladie cardiovasculaire, la situation est nettement moins favorable pour la mortalité aux âges jeunes et notamment très jeune (mortalité infantile).

Español

La evolución demográfica reciente en Francia: ¿Una singularidad en Europa?

El 1° de enero de 2019, Francia tenía casi 67 millones de habitantes (66,99 millones) o sea 13,1% de la población de la Unión Europea. El año 2018 estuvo marcado por un bajo número de nacimientos (759 000) y un número de muertes que sobrepasa 600 000 por primera vez desde la post-guerra (614 000). El flujo de entradas de extranjeros sometidos a la obligación de un permiso de residencia ha aumentado (237 742 personas, +9% respecto a 2016). Este flujo se masculiniza por causa de la proporción creciente de personas que provienen de África y de Asia. Francia se caracteriza por una tasa de inmigración de las más bajas de Europa. Con un índice coyuntural de fecundidad de 1,87 hijos por mujer, Francia sigue siendo el país más fecundo de Europa. El índice coyuntural de interrupción voluntaria del embarazo fue de 0,56 por mujer en 2018. Poco a poco, el número de pacs (pacto civil de solidaridad) se acerca al número de matrimonios (4 pacs por 5 matrimonios). Las uniones entre personas del mismo sexo se mantiene estable en 2017 (3,1 % de los matrimonios y 3,8 % de los pacs). Por último, la esperanza de vida sigue aumentando pero a un ritmo más lento. Es la más alta de Europa para las mujeres, pero no para los hombres (9° lugar). Si Francia se distingue por una baja prevalencia de las muertes por enfermedades cardiovasculares, la situación es claramente menos favorable para la mortalidad de los jóvenes y especialmente de los muy jóvenes (mortalidad infantil).

  1. Overview
  2. I - General trends and population age structure
    1. 1 - Europe’s highest rate of natural growth
    2. 2 - The base of the population pyramid continues to narrow
    3. 3 - Fewer men than women above age 25
    4. 4 - One in five people aged 65 or above on 1 January 2019
  3. II - Immigration from third countries
    1. 1 - An upward trend in inflows
    2. 2 - Women no longer account for the majority of incoming foreigners
    3. 3 - A sharp decrease in the share of admissions for family reasons
    4. 4 - Over 46,000 asylum seekers admitted for residence in 2017
    5. 5 - Major differences across the European Union
  4. III - Births and fertility
    1. 1 - A slower decline in period fertility
    2. 2 - France is still a European ‘outlier’
    3. 3 - Women born in 1980 will have a completed fertility of more than 2.0 children per woman
    4. 4 - A growing share of childless women?
    5. 5 - Almost 1 in 4 children born to foreign parents
    6. 6 - More non-marital births, but most still take the father’s name
  5. IV - Induced abortion
    1. 1 - Increase in induced abortions in 2018
    2. 2 - Abortion in the European Union
    3. 3 - Improving provision
  6. V - Marriages, civil and consensual unions, and divorces
    1. 1 - Registered unions
      1. Marriages nearing a record low, PACS unions close to peak numbers
      2. Convergence between numbers of PACS unions and marriages, but differences in timing
      3. At age 30, more than 1 in 5 newlyweds were in a PACS union before marrying
    2. 2 - Marriage and PACS trends across cohorts
      1. PACS unions most frequent among the cohorts born in the early 1980s
    3. 3 - Divorces and PACS dissolutions
      1. Incomplete divorce statistics in 2017 following the reform of 2016
      2. More than half the PACS unions registered before 2007 have been dissolved
    4. 4 - Unions in France and Europe
      1. Fewer, later marriages in France
      2. A high rate of same-sex marriages in France
      3. A relatively high rate of divorce in France
  7. VI - Mortality
    1. 1 - Characteristics of mortality
      1. A steady increase in deaths over the last 15 years
      2. A slower increase in life expectancy
    2. 2 - France well placed in Europe for life expectancy
      1. High premature mortality
      2. Lower old-age mortality than in other European countries
      3. A narrowing of the life expectancy gender gap
    3. 3 - A stagnation of infant mortality in France
    4. 4 - Causes of death in France: a comparative perspective
      1. Very low cardiovascular mortality in France
      2. A French advantage for female cancer mortality
      3. Mortality from other diseases very close to the European average
      4. A contrasting situation by sex for deaths from external causes

References

  • OnlineAiken A., Gomperts R., Trussell J., 2016, Experiences and characteristics of women seeking and completing at-home medical termination of pregnancy through online telemedicine in Ireland and Northern Ireland: A population-based analysis, BJOG, 124(8), 1208–1215.
  • OnlineAvdeev A., Eremenko T., Festy P., Gaymu J., Le Bouteillec N., Springer S., 2011, Populations and demographic trends of European countries, 1980–2010, Population, English Edition, 66(1), 7–130.
  • OnlineAyerbe A., Breton D., 2015, Fécondité et famille, L’Europe en formation, 377(3), 10–29.
  • Bailly E., Rault W., 2013, Are heterosexual couples in civil partnerships different from married couples? Population & Societies, 497, February.
  • Beaujouan É., Sobotka T., 2019, Late childbearing continues to increase in developed countries, Population & Societies, 562, January.
  • Beaujouan É., Sobotka T., Brzozowska Z., 2017, Has childlessness peaked in Europe? Population & Societies, 540, January.
  • Bellamy V., 2015, En 2014, 818 565 bébés sont nés en France. Un nouveau-né sur dix porte le nom de ses deux parents, Insee Focus, 33, September.
  • Bennett N. G., 2017, A reflection on the changing dynamics of union formation and dissolution, Demographic Research, 36(art. 12), 371–390.
  • OnlineBreton D., Prioux F., 2005, Two children or three? Influence of family policy and sociodemographic factors, Population, English Edition, 60(4), 371–414.
  • OnlineBreton D., Prioux F., 2009, The one-child family: France in the European context, Demographic Research, 20(art. 27), 657–692.
  • OnlineBreton D., Barbieri M., d’Albis H., Mazuy M., 2018, Recent demographic developments in France: Seasonal patterns of births, deaths, unions, and migration, Population, English Edition, 73(4), 591–658.
  • Breton D., Mazuy M., Barbieri M., d’Albis H., 2017, Recent demographic developments in France: Marked differences between départements, Population, English Edition, 72(4), 557–624.
  • Brutel C., 2014, Les immigrés récemment arrivés en France. Une immigration de plus en plus européenne, Insee Première, 1524, November.
  • OnlineBrutel C., 2015, L’analyse des flux migratoires entre la France et l’étranger entre 2006 et 2013. Un accroissement des mobilités, Insee Analyses, 22, October.
  • Calot G., 1984, Une notion intéressante: l’effectif moyen des générations soumises au risque. I. Présentation méthodologique, Population, 39(6), 947–976.
  • Commission IVG, 2016, IVG: état des lieux et perspectives d’évolution du système d’information, Paris, Ministère des Affaires sociales et de la santé.
  • Cortina C., Laplante B., Fostik A., Castro Martín T., 2013, Same-sex marriages and partnerships in two pioneer countries, Canada and Spain, paper presented at the 27th IUSSP International Population Conference, Busan.
  • OnlineCouncil of Europe, 2017, Women’s sexual and reproductive health and rights in Europe (Issue Paper), Strasbourg, Council of Europe Commissioner for Human Rights. https://www.coe.int/en/web/commissioner/women-s-sexual-and-reproductive-rights-in-europe
  • d’Albis H., Boubtane E., 2015, Characteristics of migration flows to France based on residence permit data (1998–2013), Population, English Edition, 70(3), 461–496.
  • Onlined’Albis H., Boubtane E., 2018a, Admission to France of asylum seekers since 2000, Population & Societies, 552, February.
  • d’Albis H., Boubtane E., 2018b, Une cartographie de l’immigration en France métropolitaine depuis l’an 2000, Hommes et migrations, 1323, 16–21.
  • OnlineDavie E., Niel X., 2012, Mesurer et étudier la fécondité selon le rang de naissance: élaborer une statistique de nombre de naissances et d’âge à l’accouchement par rang (Working Paper No. F1205), INSEE.
  • OnlineDesplanques G., 2008, Strengths and uncertainties of the French annual census surveys, Population, English Edition, 63(3), 415–440.
  • Festy P., 1995, L’évolution démographique récente, Population, 50(3), 723–744.
  • OnlineFihel A., Okólski M., 2019, Population decline of the post-communist countries of the European Union, Population & Societies, 567, June.
  • Frejka T., 2008, Overview Chapter 2: Parity distribution and completed family size in Europe: Incipient decline of the two-child family model? Demographic Research, 19(art. 4), 47–72.
  • OnlineGóis P., Marques J-C., 2018, Retrato de um Portugal migrante: a evolução da emigração, da imigração e do seu estudo nos últimos 40 anos, e-cadernos CES, 29, 125–152. Retrieved from https://journals.openedition.org/eces/3307
  • Guillaume A., Rossier C., 2018, Abortion around the world: An overview of legislation, measures, trends, and consequences, Population, English Edition, 73(2), 217–306.
  • Héran F., Pison G., 2007, Two children per woman in France in 2006: Are immigrants to blame? Population & Societies, 432, March.
  • OnlineMarteau B., 2019, Separation among cohabiting same-sex and different-sex couples, Population, English Edition, 74(4), 483–506.
  • Mazuy M., Barbieri M., d’Albis H., 2013, Recent demographic trends in France: Fertility remains stable, Population, English Edition, 68(3), 329–374.
  • OnlineMazuy M., Toulemon L., Baril E., 2015, Recourse to abortion is decreasing, but repeat abortions are more frequent, Population & Societies, 518, January.
  • Meslé F., 2006, Recent improvements in life expectancy in France: Men are starting to catch up, Population, English Edition, 61(4), 365–388.
  • OnlineOuellette N., Barbieri M., Wilmoth J. R., 2014, Period-based mortality change: Turning points in trends since 1950, Population and Development Review, 40(1), 77–106.
  • Papon S., 2018, La mortalité infantile est stable depuis dix ans après des décennies de baisse, Insee Focus, 117, June.
  • Papon S., Beaumel C., 2019, Bilan démographique 2018. La fécondité baisse depuis quatre ans, Insee Première, 1730, January.
  • Pison G., 2012, France and Germany: A history of criss-crossing demographic curves, Population & Societies, 487, March.
  • Pison G., 2018, 1968–2018: Four demographic surprises in France over the last 50 years, Population & Societies, 553, March.
  • Pison G., Toulemon L., 2016, The number of deaths in France will increase over the coming years, Population & Societies, 531, March.
  • OnlinePrioux F., 2006a, Recent demographic developments in France, Population, English Edition, 61(4), 323–364.
  • Prioux F., 2006b, Cohabitation, marriage and separation: Contrasts in Europe, Population & Societies, 422, April.
  • OnlinePrioux F., Barbieri M., 2012, Recent demographic developments in France: Relatively low mortality at advanced ages, Population, English Edition, 67(4), 493–550.
  • Rahib D., Le Guen M., Lydié N., 2017, Baromètre santé 2016. Contraception. Quatre ans après la crise de la pilule, les évolutions se poursuivent, Saint-Maurice, Santé publique France.
  • Rault W., Régnier-Loilier A., 2015, First cohabiting relationships: Recent trends in France, Population & Societies, 521, April.
  • Rault W., Régnier-Loilier A., 2019, Studying individual and conjugal trajectories in France: Scientific and methodological choices in the EPIC survey, Population, English Edition, 74(1–2), 11–40.
  • Robert-Bobée I., Volant S., 2018, Baisse récente de la fécondité en France: tous les âges et tous les niveaux de vie sont concernés, Insee Focus, 136, December.
  • Rossier C., 2014, Unsafe abortion still frequent across the world but less often fatal, Population & Societies, 513, July–August.
  • OnlineRossier C., Pirus C., 2007, Estimating the number of abortions in France, 1976–2002, Population, English Edition, 62(1), 57–88.
  • OnlineSardon J.-P., 1992, La primo-nuptialité féminine en Europe: éléments pour une typologie, Population, 47(4), 855–891.
  • OnlineSardon J.-P., 2006, Recent demographic trends in developed countries, Population, English Edition, 61(3), 197–266.
  • OnlineSauvy A., Ledermann S., 1946, La guerre biologique (1933-1945): population de l’Allemagne et des pays voisins, Population, 1(3), 471–488.
  • OnlineSedgh G., Bearak J., Singh S. et al., 2016, Abortion incidence between 1990 and 2014: Global, regional, and subregional levels and trends, The Lancet, 388(10041), 258–267.
  • OnlineSheldon S., 2016, How can a state control swallowing? The home use of abortion pills in Ireland, Reproductive Health Matters, 24(48), 90–101.
  • OnlineSmallwood S., De Broe S., 2009, Sex ratio patterns in population estimates, Population Trends, 137(1), 41–50.
  • OnlineSobotka T., Toulemon L., 2008, Overview Chapter 4: Changing family and partnership behavior: Common trends and persistent diversity across Europe, Demographic Research, 19(art. 6), 85–138.
  • OnlineToulemon L., 2017, Undercount of young children and young adults in the new French census, Statistical Journal of the IAOS, 33, 311–316.
  • OnlineToulemon L., Pailhé A., Rossier C., 2008, France: High and stable fertility, Demographic Research, 19(art. 16), 503–556.
  • Vilain A., 2018, 216 700 interruptions volontaires de grossesse en 2017, Études et résultats, 1081, September.
  • Vilain A., 2019, 224 300 interruptions volontaires de grossesse en 2018, Drees, Études et résultats, 1125, September.
  • Volant S., Pison G., Héran F., 2019, French fertility is the highest in Europe. Because of its immigrants? Population & Societies, 568, July–August.
  • OnlineWiik K.A., Seierstad A., Noack T., 2014, Divorce in Norwegian same-sex marriages and registered partnerships: The role of children, Journal of Marriage and Family, 76(5), 919–929.
  • Wilkins E., Wilson L., Wickramasinghe K., Bhatnagar P., Leal J., Luengo-Fernandez R., Burns R., Rayner M., Townsend N., 2017, European Cardiovascular Disease Statistics 2017, Brussels, European Heart Network.
  • Wisser O., Vaupel J. W., 2014, The sex differential in mortality: A historical comparison of the adult-age pattern of the ratio and the difference (Working Paper No. WP-2014-005), Rostock, Max Planck Institute for Demographic Research.
  • OnlineWHO, 2012, Safe abortion: Technical and policy guidance for health systems, 2nd ed., Geneva, World Health Organization. Retrieved from https://www.who.int/reproductivehealth/publications/unsafe_abortion/ 9789241548434/en/
  • Zeman K., Beaujouan E., Brzozowska Z., Sobotka T., 2018, Cohort fertility decline in low fertility countries: Decomposition using parity progression ratios, Demographic Research, 38(art. 25), 651–690.
Didier Breton
University of Strasbourg, Sage (UMR 7363).
Institut national d’études démographiques (INED).
Université de Strasbourg, Institut de démographie (IDUS), 22 rue René Descartes - Patio – Bâtiment 5, 67084 Strasbourg Cedex, France.
Magali Barbieri
Institut national d’études démographiques (INED).
Nicolas Belliot
University of Bordeaux, COMPTRASEC UMR CNRS 5114.
Hippolyte d’Albis
Paris School of Economics, CNRS.
Magali Mazuy
Institut national d’études démographiques (INED).
Translated by
Catriona Dutreuilh
Latest publication on cairn or another partner portal
Latest publication on cairn or another partner portal
Latest publication on cairn or another partner portal
Latest publication on cairn or another partner portal
Latest publication on cairn or another partner portal
Latest publication on cairn or another partner portal
Uploaded on Cairn-int.info on 26/02/2020
Cite
Distribution électronique Cairn.info pour I.N.E.D © I.N.E.D. Tous droits réservés pour tous pays. Il est interdit, sauf accord préalable et écrit de l’éditeur, de reproduire (notamment par photocopie) partiellement ou totalement le présent article, de le stocker dans une banque de données ou de le communiquer au public sous quelque forme et de quelque manière que ce soit.
keyboard_arrow_up
Chargement
Loading... Please wait