Background and Aims: Declining fertility is a key driver behind the rapid aging of populations worldwide. Finland has experienced a 25% decline in fertility from 2010 to date and ranks low even on the European and Nordic scales. This study aimed to address the association between sociodemographic indicators and birth rate (i.e., live births relative to total population) in Finland.Methods: Open data on 310 Finnish municipalities were retrieved from the public database of Statistics Finland. Several sociodemographic subdimensions (population structure, education and income, location and living, divorces, car ownership rate, and crime rate), each converted to standard deviation units, were modeled against birth rate at the municipality level using generalized estimating equations.Results: In this dataset, average annual birth rate was 8.8 per 1,000 individuals. Birth rate was positively associated with change in population size (rate ratio 1.06, 95% confidence interval 1.04−1.08), percentage of

United States Birth Rate: White data was reported at 9.300 % in 2023. This records a decrease from the previous number of 9.500 % for 2022. United States Birth Rate: White data is updated yearly, averaging 13.700 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 15.800 % in 1990 and a record low of 9.300 % in 2023. United States Birth Rate: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G008: Birth Rate.

United States US: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This records a decrease from the previous number of 1.843 Ratio for 2015. United States US: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.002 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.654 Ratio in 1960 and a record low of 1.738 Ratio in 1976. United States US: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

At the beginning of the 1990s, the United Nations Economic Commission for Europe (ECE) launched a project to conduct international comparative surveys on family and birth rates in European countries (Fertility and Family Surveys - FFS). For the past three decades, Europe has seen profound changes in birth rates, education and family structures. In this context, various authors speak of a "second demographic upheaval". In many European countries, the following trends are emerging: declining birth rates, together with combined birth rates which remain below the level necessary for generational survival (1.49 in Switzerland at the time of the survey in 1994 and 1.50 in 1996), a declining tendency to marry and the emergence of new family forms (consensual couples, single-parent families, blended families). If these trends continue, significant demographic consequences are to be expected, with correspondingly drastic consequences for social and economic organisation (one issue is above all the ageing of the population). The collection of biographical data makes it possible to collect detailed information at the individual level, which supplements the census data. The course of life in our society is becoming increasingly complex and diverse. Censuses can collect little information on the biography of individuals, but this information is essential for understanding and explaining changes in behaviour in terms of birth rates and partnership. The collection of biographical data thus provides an important basis for statistics and scientific research. Another objective of this study is to provide information to those involved in the development of family and social policies. An optional module of the questionnaire (not adopted by Switzerland) is dedicated to population policy and serves to monitor the effectiveness of this policy. The plan for an international survey on family and birth rates in Europe therefore pursues the following objectives: - Providing information on families and birth rates that complements census and marital status data and can be used for scientific purposes, but also for political and administrative purposes; - Provision of data that can be used to develop more precise population scenarios; - Testing of new hypotheses concerning the determinants of parental and partnership behaviour; - Investigation of problems related to family and birth policies; - Comparisons of recent developments in family and birth rates in European countries. Each participating country carries out a representative sample survey based on a standardised questionnaire. The data collected are therefore comparable with those of other countries. The Swiss Federal Statistical Office had planned to conduct a survey on family and birth rates as part of its microcensus programme. Official statistics in our country have few data that allow an analysis of the profound changes in this area. The project of the Economic Commission for Europe offered Switzerland the opportunity to conduct such a survey and at the same time participate in an international comparative research programme. The basic concept for this was drawn up in 1992. The Swiss Federal Statistical Office, which collaborated with the Institute of Sociology at the University of Zurich and the Laboratoire de démographie économique et sociale at the University of Geneva, was in charge of the overall management of the project on behalf of the Federal Council. The objectives of the survey were as follows: - To provide an overview of recent developments and the current situation of the family and the birth rate in Switzerland; - To study the interactions between education, employment, family lifestyles and birth rates; - To shed light on the changes in attitudes and values about family and child. This survey allows (lifecourse-related) longitudinal analyses as a supplement to the (momentary) cross-sectional studies of the situation in the areas of birth rate, tendency to marry and household structure based on census and civil status data. This information is intended for those involved in social and family policy decisions and for scientific research. Anfangs der 90er Jahre lanciert die Wirtschaftskommission für Europa (Economic Commission for Europe - ECE) der Vereinten Nationen ein Projekt, das die Durchführung international vergleichender Erhebungen über Familie und Geburtenhäufigkeit in den Ländern Europas vorsah (Fertility and Family Surveys - FFS). Seit drei Jahrzehnten ist in Europa ein tiefgreifender Wandel in den Bereichen Geburtenhäufigkeit, Ausbildung und Familienstrukturen zu beobachten. Verschiedene Autoren sprechen in diesem Zusammenhang von einem "zweiten demographischen Umbruch". In zahlreichen europäischen Ländern zeichnen sich folgende Trends ab: sinkende Geburtenhäufigkeit, zusammen mit zusammengefassten Geburtenziffern, welche weiterhin unter den für den Generationenerhalt notwendigen Wert liegen (1,49 in der Schweiz zum Erhebungszeitpunkt 1994 und 1,50 im Jahr 1996), Rückgang der Heiratsneigung und Aufkommen neuer Familienformen (Konsensualpaare, Einelternfamilien, Fortsetzungsfamilien). Falls diese Trends weiter anhalten, ist mit bedeutenden demographischen Konsequenzen zu rechnen, mit entsprechend einscheidenden Folgen für die gesellschaftliche und wirtschaftliche Organisation (ein Thema ist vor allem die Alterung der Bevölkerung). Die Erhebung von biographischen Daten gestattet es, detaillierte Informationen auf der Stufe des Einzelnen zu sammeln, welche die Volkszählungsdaten ergänzen. Die Lebensverläufe in unserer Gesellschaft werden immer komplexer und vielfältiger. Bei den Volkszählungen können nur wenige Informationen zur Biographie des Einzelnen erhoben werden; diese Angaben sind aber von grundlegender Bedeutung, wenn es darum geht, Verhaltensänderungen im Bereich Geburtenhäufigkeit und Partnerschaft zu verstehen und zu erklären. Die Erhebung von biographischen Daten liefert demnach wichtige Grundlagen für die Statistik und die wissenschaftliche Forschung. Ein weiteres Ziel dieses Projekts besteht darin, Informationen für die Personen bereitszustellen, die mit der Ausarbeitung der Familien- und Sozialpolitik befasst sind. Ein (von der Schweiz nicht übernommenes) fakultatives Modul des Fragebogens ist denn auch der Bevölkerungspolitik gewidmet und dient zur Überprüfung der Wirksamkeit dieser Politik. Der Plan einer internationalen Erhebung über Familie und Geburtenhäufigkeit in Europa verfolgt somit folgende Zielsetzungen: - Bereitstellung von Informationen über Familien und Geburtenhäufigkeit, welche die Volkszählungs- und Zivilstandsdaten ergänzen und für wissenschaftliche Zwecke, aber auch für die Belange der Politik und der Verwaltung verwendet werden können; - Bereitstellung von Daten, welche zur Erarbeitung von genaueren Bevölkerungsszenarien dienen können; - Testen neuer Hypothesen betreffend die Determinanten des Eltern- und Partnerschaftsverhaltens; - Untersuchung der Probleme im Zusammenhang mit der Familien- und Geburtenpolitik; - Vergleiche der neueren Entwicklungen im Bereich Familie und Geburtenhäufigkeit in den europäischen Ländern. Jedes teilnehmende Land führt eine für die Bevölkerung repräsentative Stichprobenerhebung durch, welche auf einem standardisierten Fragebogen basiert. Die erhobenen Daten sind demnach mit denjenigen anderer Länder vergleichbar. Das Bundesamt für Statistik hatte im Rahmen seines Mikrozensus-Programms die Durchführung einer Erhebung über Familie und Geburtenhäufigkeit geplant. Die amtliche Statistik in unserem Land verfügt nur über wenige Daten, die eine Analyse des tiefgreifenden Wandels in diesem Bereich ermöglichen. Das Projekt der Wirtschaftskommission für Europa bot der Schweiz die Möglichkeit, eine solche Erhebung durchzuführen und sich gleichzeitig an einem international vergleichenden Forschungsprogramm zu beteiligen. 1992 wurde das Grundkonzept dafür erstellt. Die Gesamtleitung des im Auftrag des Bundesrats realisierten Projekts lag beim Bundesamt für Statistik, das mit dem Soziologischen Institut der Universität Zürich und dem Laboratoire de démographie économique et sociale der Universität Genf zusammenarbeitete. Die Erhebung verfolgte folgende Zielsetzungen: - Erarbeiten eines Überblicks über die jüngste Entwicklung und die aktuelle Lage der Familie und der Geburtenhäufigkeit in der Schweiz; - Untersuchen der Wechselwirkungen zwischen Ausbildung, Erwerbstätigkeit, familialen Lebensformen und Geburtenhäufigkeit; - Aufschluss geben über den Wandel der Einstellungen und Werthaltungen über Familie und Kind. Diese Erhebung ermöglicht (lebenslaufbezogene) Längsschnittanalysen als Ergänzung zu den auf Volkszählungs- und Zivilstandsdaten basierenden (momentbezogenen) Querschnittuntersuchungen der Situation in den Bereichen Geburtenhäufigkeit, Heiratsneigung und Haushaltsstruktur. Diese Informationen sind für die mit sozial- und familienpolitischen Entscheiden befassten Personen sowie für die wissenschaftliche Forschung bestimmt.

In 2024, the birth rate in South Korea stood at 0.75 births per woman. The country has long struggled with a declining birth rate, dropping below one birth per woman in 2018.

CN: Population: Birth Rate: Anhui data was reported at 0.617 % in 2024. This records a decrease from the previous number of 0.645 % for 2023. CN: Population: Birth Rate: Anhui data is updated yearly, averaging 1.288 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 2.447 % in 1990 and a record low of 0.617 % in 2024. CN: Population: Birth Rate: Anhui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Birth Rate: By Region.

CN: Population: Birth Rate: Shanxi data was reported at 0.694 % in 2024. This records an increase from the previous number of 0.613 % for 2023. CN: Population: Birth Rate: Shanxi data is updated yearly, averaging 1.132 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 2.254 % in 1990 and a record low of 0.613 % in 2023. CN: Population: Birth Rate: Shanxi data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Birth Rate: By Region.

In the year 1975 the death rate has been higher than the birth rate for the first time since the end of the war. This means that our country has now the same problem as the Federal Republic of Germany and the German Democratic Republic namely a declining population. A decline in the birth rate is a phenomenon that could be observed in many industrialised countries since the 60s. This resulted in questions and problems that concern many areas of the economic an social development. The need for kindergartens, class rooms, apartments and workplaces has to be evaluated anew constantly as well as the necessary number of foreign workers or the financial burden for the contributors to the public pension scheme. In the developing countries on the other hand, it is the population boom in connection with the unemployment rate and the shortage of food that causes immense problems - which in return has an impact on the rich countries. Therefore, worldwide measures are taken understand the factors that influence the population growth and the birth rate so that decisions can be made for the future. The International Statistic Institute conducts, commissioned by the United Nations, a World-Fertility-Survey (WFS) in numerous countries; the up until now largest research on fertility and its conditions. The title birth-biography implies that this special survey collects information that cannot be gained from the existing birth statistic; the reports from the registrar’s offices to the Central Statistical Office cannot be merged with data from previous reports and also can not be evaluated together. To a limited extent, special question on children born alive had already been posed in the Mikrozensus in 1971 (Mikrozensus MZ7102). Since the number of answers was quite high, important partial results had already been gained. This special survey also concentrates on question on regional and social origin, occupation of the women in connection with the birth of their children and previous marriages. It is also noted if and at what age a child died. This is necessary for research on social conditions of infant mortality which is still quite high in Austria.

This dataset presents the estimated percentage of babies born alive before 37 weeks of pregnancy are completed, by country. Preterm birth is a leading cause of neonatal morbidity and mortality. Understanding national rates supports efforts to improve antenatal care, timely interventions, and newborn outcomes. These estimates are adapted from Liang et al. (2024), based on the Global Burden of Disease Study 2021, and provide a globally comparable measure of preterm birth burden.Data Source:The Lancet: https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00419-X/fulltext Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hub the following codes are also possible values: not reported does not apply don’t know This is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

This dataset presents the rate of multiple births by number of fetuses—distinguishing between twin births and triplet (or higher order) births—across European countries during 2015. Multiple births are associated with higher risks for both mothers and babies, including preterm birth and low birth weight. Tracking the frequency of multiple gestations helps inform health system planning, clinical risk management, and maternal–newborn care services. Data are sourced from the Euro-Peristat project, which provides harmonised, comparable perinatal health statistics across Europe.Data Source:EuroPeristat: https://www.europeristat.com/This is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

About this dataset

Context

The dataset tabulates the data for the Country Club Hills, IL population pyramid, which represents the Country Club Hills population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Country Club Hills, IL, is 24.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Country Club Hills, IL, is 21.3.
• Total dependency ratio for Country Club Hills, IL is 46.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Country Club Hills, IL is 4.7.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Country Club Hills population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Hills for the selected age group is shown in the following column.
• Population (Female): The female population in the Country Club Hills for the selected age group is shown in the following column.
• Total Population: The total population of the Country Club Hills for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Club Hills Population by Age. You can refer the same here

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Japan. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 6.00 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.3 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.3.The 3 year change in percentage points is -0.8.The 5 year change in percentage points is -1.40.The 10 year change in percentage points is -2.20.The Serie's long term average value is 11.85 per mille. It's latest available value, on 12/31/2023, is 5.85 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1967, to it's latest available value, on 12/31/2023, is -13.40.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Costa Rica. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 10.18 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.14 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.14.The 3 year change in percentage points is -1.19.The 5 year change in percentage points is -3.44.The 10 year change in percentage points is -4.59.The Serie's long term average value is 25.03 per mille. It's latest available value, on 12/31/2023, is 14.85 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -35.29.

BackgroundThe birth rate is an important indicator of the health of the population. However, persistently low birth rate has become a pressing demographic challenge for many countries, including China. This has significant implications for sustainable population planning.MethodsThis study applied hot spot analysis and the spatiotemporal geographically weighted regression (GTWR) modeling, used panel data of 286 cities in China from 2012 to 2021 to explore the spatiotemporal heterogeneity of the relationship between the socioeconomic development and birth rate.ResultsThe research has found that 2017 was an important turning point in China’s demographic transition. The hot spot analysis reveals that the birth rate hot spots are characterized by a multipolar kernel distribution, shifting from spatial diffusion to convergence, with the cold spots mainly located in the northeast. And the GTWR modeling found that the relationship between socioeconomic development and birth rate varies and change dynamically over space and time. Key findings include: (1) the negative impact of GDP per capita on birth rates has intensified; (2) housing prices exhibit both wealth and crowding-out effects on birth rates, and there are obvious regional differences between the north and the south; (3) fiscal education expenditure on birth rates has the most pronounced income effect in the eastern region.ConclusionThis study adopts spatiotemporal perspective to reveal the spatiotemporal heterogeneity of the association between socioeconomic development and birth rate. It provides new evidence on the influence of macro factors on fertility in China. And emphasizes the importance of incorporating regional variations into population policy design.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Latvia. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 7.70 per mille as of 12/31/2023, the lowest value since 12/31/1999. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.8 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.8.The 3 year change in percentage points is -1.50.The 5 year change in percentage points is -2.30.The 10 year change in percentage points is -2.50.The Serie's long term average value is 12.14 per mille. It's latest available value, on 12/31/2023, is 4.44 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1998, to it's latest available value, on 12/31/2023, is +0.1.The Serie's change in percentage points from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -9.00.

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al..
Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Turkey 1km Births. Version 1.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00585

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Sweden. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 9.50 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.5 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.5.The 3 year change in percentage points is -1.40.The 5 year change in percentage points is -1.90.The 10 year change in percentage points is -2.30.The Serie's long term average value is 12.31 per mille. It's latest available value, on 12/31/2023, is 2.81 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1964, to it's latest available value, on 12/31/2023, is -6.50.

Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

About this dataset

Context

The dataset tabulates the data for the Country Club Heights, IN population pyramid, which represents the Country Club Heights population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Country Club Heights, IN, is 25.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Country Club Heights, IN, is 30.8.
• Total dependency ratio for Country Club Heights, IN is 56.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Country Club Heights, IN is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Country Club Heights population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Heights for the selected age group is shown in the following column.
• Population (Female): The female population in the Country Club Heights for the selected age group is shown in the following column.
• Total Population: The total population of the Country Club Heights for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Club Heights Population by Age. You can refer the same here

CN: Population: Birth Rate: Guizhou data was reported at 1.074 % in 2024. This records an increase from the previous number of 1.065 % for 2023. CN: Population: Birth Rate: Guizhou data is updated yearly, averaging 1.397 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 2.309 % in 1990 and a record low of 1.065 % in 2023. CN: Population: Birth Rate: Guizhou data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Birth Rate: By Region.