This is a demography of the population of Timor-Leste including population density, ethnicity, education level, health of the populace, economic status, religious affiliations and other aspects of the population. Population size and structure

1,242,000 (2017)

Age groups

Age groupMaleFemaleTotal% Total 601 112 582 531 1 183 643 100 0-4 77 896 72 410 150 306 12.70 5-9 80 377 75 705 156 082 13.19 10-14 80 721 75 548 156 269 13.20 15-19 69 839 67 033 136 872 11.56 20-24 52 759 54 244 107 003 9.04 25-29 45 486 47 464 92 950 7.85 30-34 35 934 36 461 72 395 6.12 35-39 24 245 24 645 48 890 4.13 40-44 29 097 26 779 55 876 4.72 45-49 25 044 22 274 47 318 4.00 50-54 18 661 16 776 35 437 2.99 55-59 14 436 12 867 27 303 2.31 60-64 13 864 14 516 28 380 2.40 65-69 14 611 16 427 31 038 2.62 70-74 8 949 9 204 18 153 1.53 75-79 4 862 5 009 9 961 0.84 80-84 2 399 2 798 5 197 0.44 85+ 1 932 2 281 4 213 0.36Age group MaleFemaleTotalPercent 0-14 238 994 223 663 462 657 39.09 15-64 329 365 323 059 652 334 55.11 65+ 32 753 35 809 68 562 5.79

Age groupMaleFemaleTotal% Total 642 639 618 768 1 261 407 100 0–4 86 042 78 681 164 723 13.06 5–9 84 950 76 259 161 209 12.78 10–14 82 088 75 015 157 103 12.45 15–19 75 602 71 942 147 544 11.70 20–24 60 513 60 703 121 216 9.61 25–29 46 777 50 239 97 016 7.69 30–34 40 344 42 718 83 062 6.58 35–39 28 909 30 013 58 922 4.67 40–44 24 228 23 965 48 193 3.82 45–49 27 718 25 146 52 864 4.19 50–54 21 620 19 325 40 945 3.25 55–59 16 674 15 419 32 093 2.54 60–64 14 583 14 712 29 295 2.32 65-69 11 764 12 441 24 205 1.92 70-74 9 187 9 388 18 575 1.47 75-79 6 452 6 789 13 241 1.05 80+ 5 188 6 013 11 201 0.89Age group MaleFemaleTotalPercent 0–14 253 080 229 955 483 035 38.29 15–64 356 968 354 182 711 150 56.38 65+ 32 591 34 631 67 222 5.33

Median age In 2015 the median age of the population was 19.6 years old. The population living in rural areas is slightly younger (19.0) compared to the population living in urban areas (20.6). Ainaro Municipality has the lowest median age with 17.3 years, while Dili Municipality has the highest median age with 21.2 years.2015 Timor-Leste Population and Housing Census – Data Sheet

Vital statistics

UN estimates

Registration of vital events is in Timor-Leste not complete. The Population Department of the United Nations prepared the following estimates. Population estimates account for under numeration in population censuses.

Mid-year population (thousands)Live births (thousands)Deaths (thousands)Natural change (thousands)Crude birth rate (per 1000)Crude death rate (per 1000)Natural change (per 1000)Total fertility rate (TFR)Infant mortality (per 1000 live births)Life expectancy (in years)1950  415  18  15  343.435.97.56.61274.229.051951  418  18  14  443.734.29.56.59271.829.301952  423  19  14  443.933.410.56.56268.529.621953  427  19  14  544.232.911.26.54265.829.891954  432  19  14  544.432.511.96.51262.830.201955  437  20  14  544.632.112.56.48259.730.521956  443  20  14  644.831.813.06.45256.730.831957  449  20  14  645.131.613.56.42254.031.121958  455  21  14  645.331.314.06.39251.331.401959  462  21  14  745.531.114.46.36248.631.701960  469  21  14  745.730.615.16.32244.332.201961  476  22  14  745.730.215.56.27241.132.571962  483  22  14  845.729.915.96.22237.932.951963  491  22  15  845.629.516.16.16235.433.261964  499  23  15  845.529.216.36.08232.533.601965  507  23  14  945.228.316.96.01226.434.361966  516  23  14  944.927.617.25.93221.235.001967  525  23  14  944.526.917.65.86215.335.731968  535  24  14  944.126.317.75.79211.536.231969  544  24  14  1043.625.817.85.72207.836.711970  554  24  14  1043.125.317.85.66204.337.171971  564  24  14  1042.424.617.75.58200.237.721972  574  24  14  1041.624.017.65.49195.838.321973  584  24  14  1040.723.217.55.39190.738.991974  592  24  15  939.825.014.85.29200.836.881975  600  23  24 − 039.139.8 −0.75.19241.224.831976  610  23  23  038.337.90.45.12229.825.961977  619  23  24 −137.939.9 −2.05.09242.624.431978  628  24  27 − 437.943.8 −5.95.09266.921.841979  635  24  27 − 238.342.3 −3.95.14258.822.531980  642  25  21  339.033.65.45.22203.328.451981  649  27  21  641.332.58.85.53193.529.571982  655  27  21  741.631.310.35.56183.430.821983  662  28  20  741.930.611.35.59177.031.641984  671  28  19  942.228.413.75.61161.533.751985  682  29  19  942.428.513.95.65161.433.801986  694  29  19  1042.528.114.55.67157.434.341987  708  30  19  1142.526.715.75.68148.735.641988  723  31  19  1142.526.615.85.72148.435.751989  740  31  14  1742.319.123.35.76144.444.551990  758  32  14  1842.218.723.55.81142.644.951991  773  32  14  1841.818.423.35.84140.844.991992  784  33  14  1941.617.524.15.87134.246.281993  795  33  13  2041.216.824.45.88128.547.251994  807  33  13  2040.916.124.85.91123.648.251995  819  33  13  2040.616.324.35.94123.548.021996  831  34  13  2040.215.824.45.94118.748.821997  843  34  13  2139.915.424.55.96114.249.521998  855  34  13  2139.615.723.95.96115.149.121999  867  34  16  1939.418.021.45.97118.045.702000  878  35  9  2639.110.228.95.9877.058.572001  893  35  9  2639.19.929.26.0173.359.362002  910  36  9  2739.09.629.46.0269.760.152003  927  36  9  2738.39.329.05.9566.560.872004  946  36  9  2737.69.128.55.8563.161.632005  969  35  9  2736.58.827.75.7159.862.332006  995  35  8  2735.48.526.95.5656.763.072007  1 019  35  8  2634.28.325.95.4053.963.722008  1 043  35  8  2633.28.125.15.2351.464.332009  1 066  35  9  2632.38.024.35.0449.264.852010  1 088  34  9  2631.48.023.44.8247.365.302011  1 113  34  9  2530.77.922.84.6145.765.702012  1 138  34  9  2529.87.722.14.4044.166.082013  1 162  34  9  2529.17.621.54.2142.666.442014  1 185  34  9  2528.47.620.94.0041.266.792015  1 206  33  9  2427.77.520.23.7839.867.142016  1 225  33  9  2427.07.319.73.5838.567.452017  1 243  33  9  2426.57.219.33.4037.367.752018  1 262  33  9  2425.97.018.93.2436.268.022019  1 280  33  9  2425.56.918.63.1235.268.272020  1 300  33  9  2425.36.818.43.0134.268.482021  1 321  33  10  2324.97.217.72.8933.467.7420222.8020232.7120242.6320252.56

Demographic and Health Surveys Total Fertility Rate (TFR) and Crude Birth Rate (CBR):

Year CBR (Total) TFR (Total) CBR (Urban) TFR (Urban) CBR (Rural) TFR (Rural) 2003 52.1 7.8 50.5 7.4 2009–2010 33.2 5.7 (5.1) 33.1 4.9 (4.2) 33.2 6.0 (5.4) 2016 26.8 4.2 (3.5) 28.4 3.5 (3.0) 26.2 4.6 (3.8) 2025-26 24.3 3.4 22.8 2.7 24.8 3.8

Fertility rate By municipality Aileu Municipality and Ainaro Municipality have the highest fertility rate with 5.5 children per woman, followed by Ermera Municipality with 5.4 children per woman. Municipality Fertility rate in 2004 Fertility rate in 2010 Fertility rate in 2015 Decline between 2004 and 2015 Dili 6.7 5.3 3.9 2.8 Liquiçá 7.1 6.2 5.1 2.0 Covalima 7.0 5.6 4.7 2.3 Manufahi 7.3 5.6 4.9 2.4 Manatuto 6.7 5.6 4.6 2.1 Aileu 8.4 7.0 5.5 3.0 Lautém 7.7 6.4 5.2 2.5 Bobonaro 6.9 5.9 4.7 2.2 Baucau 6.9 5.8 4.7 2.2 Viqueque 6.3 5.3 4.6 1.7 Ermera 8.2 6.9 5.4 2.8 Ainaro 8.3 6.4 5.5 2.8 Oecusse (SAR) 6.9 5.2 4.2 2.7 7.2 5.9 4.7 2.5 Between 2014/15, around 43.5% of the births occurred in a health facility, up from 36.3% in 2010/11. This percentage varies widely from 77.5% in Dili Municipality to only 15.1% of all births in Ermera Municipality.

Before 1950 Years 1925192619271928192919301931193219331934Total Fertility Rate in Timor-Leste6.526.526.526.526.526.526.526.526.526.52 Years 1935193619371938193919401941194219431944Total Fertility Rate in Timor-Leste6.526.526.516.516.516.516.516.516.516.51 Years 19451946194719481949Total Fertility Rate in Timor-Leste6.516.516.516.516.51

Life expectancy at birth Average life expectancy at age 0 of the total population. PeriodLife expectancy in YearsPeriodLife expectancy inYears1950–195530.01985–199046.51955–196032.51990–199550.51960–196535.01995–200057.01965–197037.52000–200561.51970–197540.02005–201066.41975–198031.22010–201567.71980–198539.9

Ethnic groups

Austronesian (Malayo-Polynesian: Welaun people, Tokodede people, Tetun people, Mambai people, Kemak people, Kawaimina people, Idalaka people, Habun people, Galoli people, Atoni people), Papuan (Bunak people, Fataluku people, Makalero people, Makasae people), small Chinese particularly Hokkien people/Hakka people/Cantonese people and European particularly Portuguese people descent.

Religion

Roman Catholic 97.6% (2015 est.) Protestant/Evangelical 2% (2015 est.) Islam 0.2% (2015 est.) Other 0.2% (2015 est.)

Languages Tetum (official), Portuguese (official), Indonesian (constitutionally defined as a 'working language') and English (constitutionally defined as a 'working language').

Note: There are a total of about 16 indigenous languages, of which Tetum, Galole, Mambae, and Kemak are spoken by significant numbers of people. The Tetum language is partially influenced by European languages, particularly Portuguese, a legacy of Portuguese rule.

An extinct Portuguese creole language, Bidau Creole Portuguese, was spoken in the Dili suburb of Bidau, Nain Feto, spoken by the Portuguese-Timorese mestiço population; it went extinct by the 1960s. A dialect of Malay-based local creole called Dili Malay is spoken by a number of residents in the capital Dili.

Literacy

definition: age 15 and over can read and write {| class="wikitable" | total population || |- | male || |- | female || |}(2015 est.)

After achieving independence, Timor-Leste had a high illiteracy rate, with 55% of women and 46% of men illiterate. Approximately 18% of the adult population had achieved secondary education and approximately 1.4% of them had an academic degree or achieved other higher education, nearly all of whom resided in urban areas, primarily the capital Dili. Attempts to improve education services face challenges in the form of a lack of educated and experienced teachers. Continuing high fertility rates also translates to greater strains on the government to increase education budgets. The United Nations (UN) has assisted in rebuilding the education system increasing the number of teachers and rehabilitating many schools, leading to a rapid increase in school enrollment. However, problems remain as the quality of education was deemed secondary to the need to increase enrollment in Timor-Leste.

Another problem faced in increasing the education levels includes the economic conditions of the population. With high proportions of the population living below the poverty line and large households with many children, the direct costs of schooling is significant for families. Lack of monetary resources to send children to school imposes greater difficulty in increasing enrollment rates in schools. In addition, parents may be disillusioned with the poor quality of education and thus may not even be interested to send their children to schools. Much remains to be done to establish a new curriculum and support it with texts and learning materials to improve the quality of education. The variety of language spoken also means a large number of children do not speak the language of instruction – Portuguese – and this causes them to be marginalised. Many teachers do not speak Portuguese.

The inaccessibility of schools with proper facilities adds to the problem of providing adequate education to the population. Schools are located far away from homes and, coupled with the poor conditions of schools, may inhibit the early enrollment of children or lead to early drop-outs. Schools in rural areas face substantial lack of facilities to render them safe. As for the schools in urban areas, significant urban migration has meant that the supply of schools in urban areas have not managed to keep up with the increasing demand; leading to overcrowding in urban schools.