74 datasets found
  1. Crude birth rate, age-specific fertility rates and total fertility rate...

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Sep 25, 2024
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    Government of Canada, Statistics Canada (2024). Crude birth rate, age-specific fertility rates and total fertility rate (live births) [Dataset]. http://doi.org/10.25318/1310041801-eng
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Crude birth rates, age-specific fertility rates and total fertility rates (live births), 2000 to most recent year.

  2. Crude birth rate (births per 1000 population)

    • hub.arcgis.com
    • globalmidwiveshub.org
    • +1more
    Updated Mar 17, 2021
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    Direct Relief (2021). Crude birth rate (births per 1000 population) [Dataset]. https://hub.arcgis.com/maps/b70a4a040e5349b9a8840f7e846f3925
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    Dataset updated
    Mar 17, 2021
    Dataset authored and provided by
    Direct Reliefhttp://directrelief.org/
    Area covered
    Description

    Definition:The crude birth rate is the annual number of live births per 1,000 population.Method of measurementThe crude birth rate is generally computed as a ratio. The numerator is the number of live births observed in a population during a reference period and the denominator is the number of person-years lived by the population during the same period. It is expressed as births per 1,000 population. Method of estimation:Data are taken from the most recent UN Population Division's "World Population Prospects". Other possible data sources:Population censusHousehold surveysPreferred data sources:Civil registration with complete coverageExpected frequency of data dissemination:Biennial (Two years)Data collected March 5, 2021 from: https://www.who.int/data/maternal-newborn-child-adolescent-ageing/indicator-explorer-new/mca/crude-birth-rate-(births-per-1000-population)

  3. La Araucanía Crude Birth Rate

    • knoema.fr
    csv, json, sdmx, xls
    Updated Dec 14, 2018
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    Knoema (2018). La Araucanía Crude Birth Rate [Dataset]. https://knoema.fr/atlas/chile/la-araucan%C3%ADa/crude-birth-rate
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2006 - 2010
    Area covered
    Araucania
    Variables measured
    Crude Birth Rate
    Description

    13,8 (Births per 1'000 Population) in 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

  4. w

    Uganda - Demographic and Health Survey 1995 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). Uganda - Demographic and Health Survey 1995 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/uganda-demographic-and-health-survey-1995
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Uganda
    Description

    The 1995 Uganda Demographic and Health Survey (UDHS-II) is a nationally-representative survey of 7,070 women age 15-49 and 1,996 men age 15-54. The UDHS was designed to provide information on levels and trends of fertility, family planning knowledge and use, infant and child mortality, and maternal and child health. Fieldwork for the UDHS took place from late-March to mid-August 1995. The survey was similar in scope and design to the 1988-89 UDHS. Survey data show that fertility levels may be declining, contraceptive use is increasing, and childhood mortality is declining; however, data also point to several remaining areas of challenge. The 1995 UDHS was a follow-up to a similar survey conducted in 1988-89. In addition to including most of the same questions included in the 1988-89 UDHS, the 1995 UDHS added more detailed questions on AIDS and maternal mortality, as well as incorporating a survey of men. The general objectives of the 1995 UDHS are to: provide national level data which will allow the calculation of demographic rates, particularly fertility and childhood mortality rates; analyse the direct and indirect factors which determine the level and trends of fertility; measure the level of contraceptive knowledge and practice (of both women and men) by method, by urban-rural residence, and by region; collect reliable data on maternal and child health indicators; immunisation, prevalence, and treatment of diarrhoea and other diseases among children under age four; antenatal visits; assistance at delivery; and breastfeeding; assess the nutritional status of children under age four and their mothers by means of anthropometric measurements (weight and height), and also child feeding practices; and assess among women and men the prevailing level of specific knowledge and attitudes regarding AIDS and to evaluate patterns of recent behaviour regarding condom use. MAIN RESULTS Fertility: Fertility Trends. UDHS data indicate that fertility in Uganda may be starting to decline. The total fertility rate has declined from the level of 7.1 births per woman that prevailed over the last 2 decades to 6.9 births for the period 1992-94. The crude birth rate for the period 1992-94 was 48 live births per I000 population, slightly lower than the level of 52 observed from the 1991 Population and Housing Census. For the roughly 80 percent of the country that was covered in the 1988-89 UDHS, fertility has declined from 7.3 to 6.8 births per woman, a drop of 7 percent over a six and a half year period. Birth Intervals. The majority of Ugandan children (72 percent) are born after a "safe" birth interval (24 or more months apart), with 30 percent born at least 36 months after a prior birth. Nevertheless, 28 percent of non-first births occur less than 24 months after the preceding birth, with 10 percent occurring less than 18 months since the previous birth. The overall median birth interval is 29 months. Fertility Preferences. Survey data indicate that there is a strong desire for children and a preference for large families in Ugandan society. Among those with six or more children, 18 percent of married women want to have more children compared to 48 percent of married men. Both men and women desire large families. Family planning: Knowledge of Contraceptive Methods. Knowledge of contraceptive methods is nearly universal with 92 percent of all women age 15-49 and 96 percent of all men age 15-54 knowing at least one method of family planning. Increasing Use of Contraception. The contraceptive prevalence rate in Uganda has tripled over a six-year period, rising from about 5 percent in approximately 80 percent of the country surveyed in 1988-89 to 15 percent in 1995. Source of Contraception. Half of current users (47 percent) obtain their methods from public sources, while 42 percent use non-governmental medical sources, and other private sources account for the remaining 11 percent. Maternal and child health: High Childhood Mortality. Although childhood mortality in Uganda is still quite high in absolute terms, there is evidence of a significant decline in recent years. Currently, the direct estimate of the infant mortality rate is 81 deaths per 1,000 births and under five mortality is 147 per 1,000 births, a considerable decline from the rates of 101 and 180, respectively, that were derived for the roughly 80 percent of the country that was covered by the 1988-89 UDHS. Childhood Vaccination Coverage. One possible reason for the declining mortality is improvement in childhood vaccination coverage. The UDHS results show that 47 percent of children age 12-23 months are fully vaccinated, and only 14 percent have not received any vaccinations. Childhood Nutritional Status. Overall, 38 percent of Ugandan children under age four are classified as stunted (low height-for-age) and 15 percent as severely stunted. About 5 percent of children under four in Uganda are wasted (low weight-for-height); 1 percent are severely wasted. Comparison with other data sources shows little change in these measures over time. AIDS: Virtually all women and men in Uganda are aware of AIDS. About 60 percent of respondents say that limiting the number of sexual partners or having only one partner can prevent the spread of disease. However, knowledge of ways to avoid AIDS is related to respondents' education. Safe patterns of sexual behaviour are less commonly reported by respondents who have little or no education than those with more education. Results show that 65 percent of women and 84 percent of men believe that they have little or no chance of being infected. Availability of Health Services. Roughly half of women in Uganda live within 5 km of a facility providing antenatal care, delivery care, and immunisation services. However, the data show that children whose mothers receive both antenatal and delivery care are more likely to live within 5 km of a facility providing maternal and child health (MCH) services (70 percent) than either those whose mothers received only one of these services (46 percent) or those whose mothers received neither antenatal nor delivery care (39 percent).

  5. Tianjin Birth Rate

    • knoema.de
    csv, json, sdmx, xls
    Updated May 23, 2023
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    Knoema (2023). Tianjin Birth Rate [Dataset]. https://knoema.de/atlas/China/Tianjin/Birth-Rate
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    xls, sdmx, csv, jsonAvailable download formats
    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2009 - 2021
    Area covered
    Tianjin
    Variables measured
    Birth Rate
    Description

    5,30 (per thousand population) in 2021. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

  6. Bío Bío Crude Birth Rate

    • knoema.de
    csv, json, sdmx, xls
    Updated Dec 14, 2018
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    Knoema (2018). Bío Bío Crude Birth Rate [Dataset]. https://knoema.de/atlas/Chile/B%C3%ADo-B%C3%ADo/Crude-Birth-Rate
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    xls, csv, json, sdmxAvailable download formats
    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2006 - 2010
    Area covered
    Bío Bío, Chile
    Variables measured
    Crude Birth Rate
    Description

    13,9 (Births per 1'000 Population) in 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

  7. Zhejiang Birth Rate

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 23, 2023
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    Knoema (2023). Zhejiang Birth Rate [Dataset]. https://hi.knoema.com/atlas/%E4%B8%AD%E5%9B%BD/zhejiang/birth-rate
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    sdmx, csv, json, xlsAvailable download formats
    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2009 - 2021
    Area covered
    Zhejiang
    Variables measured
    Birth Rate
    Description

    6.90 (per thousand population) in 2021. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

  8. g

    Total fertility rate (TFR)

    • gimi9.com
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    Total fertility rate (TFR) [Dataset]. https://gimi9.com/dataset/eu_200700-0
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The cyclical fertility index represents the number of children that 15-year-olds would give life before age 49 if they adopted fertility by age group observed during that period. The cyclical fertility index is calculated here over a 5-year period, starting from the fertility rates of women aged 15 to 49. It is the sum of fertility rates per five-year age group multiplied by 5. Fertility rates by age group reflect in the numerator the average annual number of live births for women in a given age group. The denominator is the average for the period analysed of the populations on 1 July of women in this same age group. The cyclical fertility index is an indicator of population renewal that is not influenced by the age structure of the population, unlike the crude birth rate. It is therefore an excellent comparative indicator of the fertility of a population. Population renewal is ensured if the number of girls in the child generation is equal to the number of women in the parent generation. In the absence of mortality, a woman must give birth to 2.05 children (2.05 and not 2 because she is born 105 boys per 100 girls) to replace a generation, either herself and the father.

  9. Vologda Region Fertility rate

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Vologda Region Fertility rate [Dataset]. https://hi.knoema.com/atlas/Russian-Federation/Vologda-Region/Fertility-rate
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    csv, sdmx, xls, jsonAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Russian Federation, Vologda Region
    Variables measured
    Fertility rate
    Description

    1.53 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  10. Belgorod Region Fertility rate

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Belgorod Region Fertility rate [Dataset]. https://hi.knoema.com/atlas/f%C3%A9d%C3%A9ration-de-russie/belgorod-region/fertility-rate
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    xls, sdmx, csv, jsonAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Belgorod Oblast, Russia
    Variables measured
    Fertility rate
    Description

    1.29 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  11. Perm Krai Fertility rate

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Perm Krai Fertility rate [Dataset]. https://knoema.es/atlas/federaci%C3%B3n-de-rusia/perm-krai/fertility-rate?view=snowflake
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    sdmx, xls, json, csvAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Perm Krai, Russia
    Variables measured
    Fertility rate
    Description

    1,56 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  12. Ningxia Birth Rate

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Ningxia Birth Rate [Dataset]. https://knoema.es/atlas/%E4%B8%AD%E5%9B%BD/%E5%AE%81%E5%A4%8F/%E5%87%BA%E7%94%9F%E7%8E%87?view=snowflake
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2008 - 2019
    Area covered
    Ningxia
    Variables measured
    Birth Rate
    Description

    13,72 (per thousand population) in 2019. Birth Rate (or Crude Birth Rate) refers to the ratio of the number of births to the average population (or mid-period population) during a certain period of time (usually a year), expressed in ‰. Birth rate refers to annual birth rate. The following formula is used: (Number of births)/(Annual average population)*1000‰. Number of births in the formula refers to live births, i.e. when a baby has breathed or showed any vital phenomena regardless of the length of pregnancy. Annual average population is the average of the number of population at the beginning of the year and that at the end of the year. Sometimes it is substituted by the mid-year population.

  13. Dagestan, Republic of Fertility rate

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Dagestan, Republic of Fertility rate [Dataset]. https://knoema.es/atlas/Russian-Federation/Dagestan-Republic-of/Fertility-rate
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    csv, xls, sdmx, jsonAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Republic of Dagestan, Russia
    Variables measured
    Fertility rate
    Description

    1,80 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  14. Chelyabinsk Region Fertility rate

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Chelyabinsk Region Fertility rate [Dataset]. https://hi.knoema.com/atlas/Russian-Federation/Chelyabinsk-Region/Fertility-rate
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    csv, json, xls, sdmxAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Chelyabinsk Oblast
    Variables measured
    Fertility rate
    Description

    1.48 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  15. Kursk Region Fertility rate

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 10, 2020
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    Knoema (2020). Kursk Region Fertility rate [Dataset]. http://knoema.es/atlas/Federaci%C3%B3n-de-Rusia/Kursk-Region/Fertility-rate
    Explore at:
    json, xls, sdmx, csvAvailable download formats
    Dataset updated
    Apr 10, 2020
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2019
    Area covered
    Kursk Oblast
    Variables measured
    Fertility rate
    Description

    1,34 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  16. W

    Adolescent birth rate (aged 10-14 years; aged 15-19 years) per 1,000 women...

    • cloud.csiss.gmu.edu
    csv
    Updated Dec 13, 2019
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    Australia (2019). Adolescent birth rate (aged 10-14 years; aged 15-19 years) per 1,000 women in that age group [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/adolescent-birth-rate-aged-10-14-years-aged-15-19-years-per-1-000-women-in-that-age-group
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    csvAvailable download formats
    Dataset updated
    Dec 13, 2019
    Dataset provided by
    Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number of births per 1,000 women. Note:Teenage birth rates are calculated using the Australian female Estimated Resident Population (ERP) aged 15–19 as the denominator.

  17. b

    Indice conjoncturel de fécondité (ICF)

    • ldf.belgif.be
    Updated Dec 12, 2024
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    (2024). Indice conjoncturel de fécondité (ICF) [Dataset]. https://ldf.belgif.be/datagovbe?subject=http%3A%2F%2Fwalstat.iweps.be%2Fwalstat-catalogue.php%3Findicateur_id%3D200700%26ordre%3D0
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    Dataset updated
    Dec 12, 2024
    Variables measured
    http://publications.europa.eu/resource/authority/data-theme/SOCI
    Description

    Het totale vruchtbaarheidscijfer vertegenwoordigt het aantal kinderen dat 15-jarige vrouwen vóór de leeftijd van 49 zouden baren als ze de vruchtbaarheid zouden adopteren per leeftijdsgroep die in die periode werd waargenomen. Het totale vruchtbaarheidscijfer wordt hier berekend over een periode van 5 jaar, op basis van de vruchtbaarheidscijfers van vrouwen van 15 tot 49 jaar. Het is de som van de vruchtbaarheidscijfers van vijfjarige leeftijdsgroepen vermenigvuldigd met 5. Vruchtbaarheidspercentages per leeftijdsgroep nemen het gemiddelde jaarlijkse aantal levendgeborenen voor vrouwen in een bepaalde leeftijdsgroep als teller. De noemer is het gemiddelde voor de geanalyseerde periode van de populaties op 1 juli van vrouwen in dezelfde leeftijdsgroep. Het totale vruchtbaarheidscijfer is een indicator van de bevolkingsomzet die niet wordt beïnvloed door de leeftijdsstructuur van de bevolking, in tegenstelling tot het ruwe geboortecijfer. Het is daarom een uitstekende vergelijkende indicator van de vruchtbaarheid van een populatie. De vernieuwing van de bevolking wordt gewaarborgd als het aantal meisjes in de generatie kinderen gelijk is aan het aantal vrouwen in de generatie ouders. Bij afwezigheid van sterfte is het daarom noodzakelijk voor een vrouw om 2,05 kinderen te baren (2,05 en niet 2 omdat er 105 jongens worden geboren voor elke 100 meisjes) om een generatie te vervangen, namelijk zichzelf en de vader.

  18. Buryatia, Republic of Fertility rate in urban areas

    • cn.knoema.com
    csv, json, sdmx, xls
    Updated Jun 13, 2017
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    Knoema (2017). Buryatia, Republic of Fertility rate in urban areas [Dataset]. https://cn.knoema.com/atlas/%D8%B1%D9%88%D8%B3%D9%8A%D8%A7-%D8%A7%D9%84%D9%81%D9%8A%D8%AF%D8%B1%D8%A7%D9%84%D9%8A%D8%A9/buryatia-republic-of/topics/demographics/fertility/fertility-rate-in-urban-areas?view=snowflake
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    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    Jun 13, 2017
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2005 - 2016
    Area covered
    Buryatia
    Variables measured
    Fertility rate in urban areas
    Description

    1.92 (Children per woman) in 2016. The total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. The value of indicator does not depend on age structure of population and shows average birth rate at given period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  19. Orel Region Fertility rate in urban areas

    • cn.knoema.com
    csv, json, sdmx, xls
    Updated Jun 13, 2017
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    Knoema (2017). Orel Region Fertility rate in urban areas [Dataset]. https://cn.knoema.com/atlas/r%C3%BAssia/orel-region/topics/demographics/fertility/fertility-rate-in-urban-areas?view=snowflake
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    sdmx, xls, csv, jsonAvailable download formats
    Dataset updated
    Jun 13, 2017
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2005 - 2016
    Area covered
    俄罗斯联邦, Orel Region
    Variables measured
    Fertility rate in urban areas
    Description

    1.39 (Children per woman) in 2016. The total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. The value of indicator does not depend on age structure of population and shows average birth rate at given period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

  20. Rostov Region Fertility rate in rural areas

    • cn.knoema.com
    • knoema.de
    csv, json, sdmx, xls
    Updated Jun 13, 2017
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    Knoema (2017). Rostov Region Fertility rate in rural areas [Dataset]. https://cn.knoema.com/atlas/%E4%BF%84%E7%BD%97%E6%96%AF%E8%81%94%E9%82%A6/Rostov-Region/topics/Demographics/Fertility/Fertility-rate-in-rural-areas
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    xls, json, csv, sdmxAvailable download formats
    Dataset updated
    Jun 13, 2017
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2005 - 2016
    Area covered
    Rostov Oblast
    Variables measured
    Fertility rate in rural areas
    Description

    1.77 (Children per woman) in 2016. The total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. The value of indicator does not depend on age structure of population and shows average birth rate at given period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

Share
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Email
Click to copy link
Link copied
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Government of Canada, Statistics Canada (2024). Crude birth rate, age-specific fertility rates and total fertility rate (live births) [Dataset]. http://doi.org/10.25318/1310041801-eng
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Crude birth rate, age-specific fertility rates and total fertility rate (live births)

1310041801

Explore at:
Dataset updated
Sep 25, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Crude birth rates, age-specific fertility rates and total fertility rates (live births), 2000 to most recent year.

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