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

This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. DEFINITIONS Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model. NOTES Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5). Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used. Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4). The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6). County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7). SOURCES National Center for Health Statistics. Vital statistics data available online, Natality all-county files. Hyattsville, MD. Published annually. For details about file release and access policy, see NCHS data release and access policy for micro-data and compressed vital statistics files, available from: http://www.cdc.gov/nchs/nvss/dvs_data_release.htm. For natality public-use files, see vital statistics data available online, available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. National Center for Health Statistics. U.S. Census populations with bridged race categories. Estimated population data available. Postcensal and intercensal files. Hyattsville, MD

About this dataset

Context

The dataset tabulates the data for the Texas population pyramid, which represents the Texas population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Texas, is 32.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Texas, is 19.0.
• Total dependency ratio for Texas is 51.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Texas is 5.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Texas population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Texas for the selected age group is shown in the following column.
• Population (Female): The female population in the Texas for the selected age group is shown in the following column.
• Total Population: The total population of the Texas 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 Texas Population by Age. You can refer the same here

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

Decrease the rate of teen births between the ages of 15-17 from 20.5 per 1,000 in 2013 to 19.2 per 1,000 by 2018.

This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. Methods for collecting information on marital status changed over the reporting period and have been documented in: • Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm. National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.) All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother. SOURCES CDC/NCHS, National Vital Statistics System, birth data (see http://www.cdc.gov/nchs/births.htm); public-use data files (see http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES Curtin SC, Ventura SJ, Martinez GM. Recent declines in nonmarital childbearing in the United States. NCHS data brief, no 162. Hyattsville, MD: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data/databriefs/db162.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

Graph and download economic data for Fertility Rate, Total for the United States (SPDYNTFRTINUSA) from 1960 to 2023 about fertility, rate, and USA.

About this dataset

Context

The dataset tabulates the data for the Provo, UT population pyramid, which represents the Provo population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Provo, UT, is 19.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Provo, UT, is 8.1.
• Total dependency ratio for Provo, UT is 28.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Provo, UT is 12.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Provo population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Provo for the selected age group is shown in the following column.
• Population (Female): The female population in the Provo for the selected age group is shown in the following column.
• Total Population: The total population of the Provo 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 Provo Population by Age. You can refer the same here

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.

Analysis of ‘NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/05adf260-cbad-4811-996b-35427e1c800c on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970.

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.)

All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.

SOURCES

CDC/NCHS, National Vital Statistics System, birth data (see http://www.cdc.gov/nchs/births.htm); public-use data files (see http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. Curtin SC, Ventura SJ, Martinez GM. Recent declines in nonmarital childbearing in the United States. NCHS data brief, no 162. Hyattsville, MD: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data/databriefs/db162.pdf.

2. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

--- Original source retains full ownership of the source dataset ---

We present a new sample of mid-L to mid-T dwarfs with effective temperatures of 1100-1700K selected from the UKIDSS Large Area Survey (LAS) and confirmed with infrared spectra from X-shooter/Very Large Telescope. This effective temperature range is especially sensitive to the formation history of Galactic brown dwarfs and allows us to constrain the form of the sub-stellar birth rate, with sensitivity to differentiate between a flat (stellar like) birth rate and an exponentially declining form. We present the discovery of 63 new L and T dwarfs from the UKIDSS LAS DR7, including the identification of 12 likely unresolved binaries, which form the first complete sub-set from our programme, covering 495 square degrees of sky, complete to J=18.1. We compare our results for this sub-sample with simulations of differing birth rates for objects of masses 0.10-0.03M_{sun}_ and ages 1-10Gyr. We find that the more extreme birth rates (e.g. a halo type form) can likely be excluded as the true form of the birth rate. In addition, we find that although there is substantial scatter we find a preference for a mass function, with a power-law index {alpha} in the range -1<{alpha}<0 that is consistent (within the errors) with the studies of late T dwarfs.

About this dataset

Context

The dataset tabulates the data for the San Jose, CA population pyramid, which represents the San Jose 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 San Jose, CA, is 24.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Jose, CA, is 20.5.
• Total dependency ratio for San Jose, CA is 45.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Jose, CA is 4.9.

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 San Jose population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Jose for the selected age group is shown in the following column.
• Population (Female): The female population in the San Jose for the selected age group is shown in the following column.
• Total Population: The total population of the San Jose 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 San Jose Population by Age. You can refer the same here

Live births and stillbirths annual summary statistics, by sex, age of mother, whether within marriage or civil partnership, percentage of non-UK-born mothers, birth rates and births by month and mothers' area of usual residence.

About this dataset

Context

The dataset tabulates the data for the Indiana population pyramid, which represents the Indiana 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 Indiana, is 30.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indiana, is 25.5.
• Total dependency ratio for Indiana is 55.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indiana is 3.9.

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 Indiana population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indiana for the selected age group is shown in the following column.
• Population (Female): The female population in the Indiana for the selected age group is shown in the following column.
• Total Population: The total population of the Indiana 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 Indiana Population by Age. You can refer the same here

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.

The 1998 Philippines National Demographic and Health Survey (NDHS). is a nationally-representative survey of 13,983 women age 15-49. The NDHS 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. It was implemented by the National Statistics Office in collaboration with the Department of Health (DOH). Macro International Inc. of Calverton, Maryland provided technical assistance to the project, while financial assistance was provided by the U.S. Agency for International Development (USAID) and the DOH. Fieldwork for the NDHS took place from early March to early May 1998. The primary objective of the NDHS is to Provide up-to-date information on fertility levels; determinants of fertility; fertility preferences; infant and childhood mortality levels; awareness, approval, and use of family planning methods; breastfeeding practices; and maternal and child health. This information is intended to assist policy makers and program managers in evaluating and designing programs and strategies for improving health and family planning services in the country. MAIN RESULTS Survey data generally confirm patterns observed in the 1993 National Demographic Survey (NDS), showing increasing contraceptive use and declining fertility. FERTILITY Fertility Decline. The NDHS data indicate that fertility continues to decline gradually but steadily. At current levels, women will give birth an average of 3.7 children per woman during their reproductive years, a decline from the level of 4.1 recorded in the 1993 NDS. A total fertility rate of 3.7, however, is still considerably higher than the rates prevailing in neighboring Southeast Asian countries. Fertility Differentials. Survey data show that the large differential between urban and rural fertility levels is widening even further. While the total fertility rate in urban areas declined by about 15 percent over the last five years (from 3.5 to 3.0), the rate among rural women barely declined at all (from 4.8 to 4.7). Consequently, rural women give birth to almost two children more than urban women. Significant differences in fertility levels by region still exist. For example, fertility is more than twice as high in Eastern Visayas and Bicol Regions (with total fertility rates well over 5 births per woman) than in Metro Manila (with a rate of 2.5 births per woman). Fertility levels are closely related to women's education. Women with no formal education give birth to an average of 5.0 children in their lifetime, compared to 2.9 for women with at least some college education. Women with either elementary or high school education have intermediate fertility rates. Family Size Norms. One reason that fertility has not fallen more rapidly is that women in the Philippines still want moderately large families. Only one-third of women say they would ideally like to have one or two children, while another third state a desire for three children. The remaining third say they would choose four or more children. Overall, the mean ideal family size among all women is 3.2 children, identical to the mean found in 1993. Unplanned Fertility. Another reason for the relatively high fertility level is that unplanned pregnancies are still common in the Philippines. Overall, 45 percent of births in the five years prior to the survey were reported to be unplanned; 27 percent were mistimed (wanted later) and 18 percent were unwanted. If unwanted births could be eliminated altogether, the total fertility rate in the Philippines would be 2.7 births per woman instead of the actual level of 3.7. Age at First Birth. Fertility rates would be even higher if Filipino women did not have a pattem of late childbearing. The median age at first birth is 23 years in the Philippines, considerably higher than in most other countries. Another factor that holds down the overall level of fertility is the fact that about 9 or 10 percent of women never give birth, higher than the level of 3-4 percent found in most developing countries. FAMILY PLANNING Increasing Use of Contraception. A major cause of declining fertility in the Philippines has been the gradual but fairly steady increase in contraceptive use over the last three decades. The contraceptive prevalence rate has tripled since 1968, from 15 to 47 percent of married women. Although contraceptive use has increased since the 1993 NDS (from 40 to 47 percent of married women), comparison with the series of nationally representative Family Planning Surveys indicates that there has been a levelling-off in family planning use in recent years. Method Mix. Use of traditional methods of family planning has always accounted for a relatively high proportion of overall use in the Philippines, and data from the 1998 NDHS show the proportion holding steady at about 40 percent. The dominant changes in the "method mix" since 1993 have been an increase in use of injectables and traditional methods such as calendar rhythm and withdrawal and a decline in the proportions using female sterilization. Despite the decline in the latter, female sterilization still is the most widely used method, followed by the pill. Differentials in Family Planning Use. Differentials in current use of family planning in the 16 administrative regions of the country are large, ranging from 16 percent of married women in ARMM to 55 percent of those in Southern Mindanao and Central Luzon. Contraceptive use varies considerably by education of women. Only 15 percent of married women with no formal education are using a method, compared to half of those with some secondary school. The urban-rural gap in contraceptive use is moderate (51 vs. 42 percent, respectively). Knowledge of Contraception. Knowledge of contraceptive methods and supply sources has been almost universal in the Philippines for some time and the NDHS results indicate that 99 percent of currently married women age 15-49 have heard of at least one method of family planning. More than 9 in 10 married women know the pill, IUD, condom, and female sterilization, while about 8 in 10 have heard of injectables, male sterilization, rhythm, and withdrawal. Knowledge of injectables has increased far more than any other method, from 54 percent of married women in 1993 to 89 percent in 1998. Unmet Need for Family Planning. Unmet need for family planning services has declined since I993. Data from the 1993 NDS show that 26 percent of currently married women were in need of services, compared with 20 percent in the 1998 NDHS. A little under half of the unmet need is comprised of women who want to space their next birth, while just over half is for women who do not want any more children (limiters). If all women who say they want to space or limit their children were to use methods, the contraceptive prevalence rate could be increased from 47 percent to 70 percent of married women. Currently, about three-quarters of this "total demand" for family planning is being met. Discontinuation Rates. One challenge for the family planning program is to reduce the high levels of contraceptive discontinuation. NDHS data indicate that about 40 percent of contraceptive users in the Philippines stop using within 12 months of starting, almost one-third of whom stop because of an unwanted pregnancy (i.e., contraceptive failure). Discontinuation rates vary by method. Not surprisingly, the rates for the condom (60 percent), withdrawal (46 percent), and the pill (44 percent) are considerably higher than for the 1UD (14 percent). However, discontinuation rates for injectables are relatively high, considering that one dose is usually effective for three months. Fifty-two percent of injection users discontinue within one year of starting, a rate that is higher than for the pill. MATERNAL AND CHILD HEALTH Childhood Mortality. Survey results show that although the infant mortality rate remains unchanged, overall mortality of children under five has declined somewhat in recent years. Under-five mortality declined from 54 deaths per 1,000 births in 1988-92 to 48 for the period 1993-97. The infant mortality rate remained stable at about 35 per 1,000 births. Childhood Vaccination Coverage. The 1998 NDHS results show that 73 percent of children 12- 23 months are fully vaccinated by the date of the interview, almost identical to the level of 72 percent recorded in the 1993 NDS. When the data are restricted to vaccines received before the child's first birthday, however, only 65 percent of children age 12-23 months can be considered to be fully vaccinated. Childhood Health. The NDHS provides some data on childhood illness and treatment. Approximately one in four children under age five had a fever and 13 percent had respiratory illness in the two weeks before the survey. Of these, 58 percent were taken to a health facility for treatment. Seven percent of children under five were reported to have had diarrhea in the two weeks preceeding the survey. The fact that four-fifths of children with diarrhea received some type of oral rehydration therapy (fluid made from an ORS packet, recommended homemade fluid, or increased fluids) is encouraging. Breastfeeding Practices. Almost all Filipino babies (88 percent) are breastfed for some time, with a median duration of breastfeeding of 13 months. Although breastfeeding has beneficial effects on both the child and the mother, NDHS data indicate that supplementation of breastfeeding with other liquids and foods occurs too early in the Philippines. For example, among newborns less than two months of age, 19 percent were already receiving supplemental foods or liquids other than water. Maternal Health Care. NDHS data point to several areas regarding maternal health care in which improvements could be made. Although most Filipino mothers (86 percent) receive prenatal care from a doctor, nurse, or midwife, tetanus toxoid coverage is far from universal and

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 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.

About this dataset

Context

The dataset tabulates the data for the Fall River, WI population pyramid, which represents the Fall River 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 Fall River, WI, is 37.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fall River, WI, is 14.3.
• Total dependency ratio for Fall River, WI is 51.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fall River, WI is 7.0.

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 Fall River population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fall River for the selected age group is shown in the following column.
• Population (Female): The female population in the Fall River for the selected age group is shown in the following column.
• Total Population: The total population of the Fall River 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 Fall River Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Fall Creek, WI population pyramid, which represents the Fall Creek 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 Fall Creek, WI, is 36.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fall Creek, WI, is 25.0.
• Total dependency ratio for Fall Creek, WI is 61.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fall Creek, WI is 4.0.

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 Fall Creek population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fall Creek for the selected age group is shown in the following column.
• Population (Female): The female population in the Fall Creek for the selected age group is shown in the following column.
• Total Population: The total population of the Fall Creek 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 Fall Creek Population by Age. You can refer the same here