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.

Content

The United States Census Bureau’s International Dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the data set includes midyear population figures broken down by age and gender assignment at birth. Additionally, they provide time-series data for attributes including fertility rates, birth rates, death rates, and migration rates.

The full documentation is available here. For basic field details, please see the data dictionary.

Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000.

Acknowledgements

This dataset was created by the United States Census Bureau.

Inspiration

Which countries have made the largest improvements in life expectancy? Based on current trends, how long will it take each country to catch up to today’s best performers?

Use this dataset with BigQuery

You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data on BigQuery, too: https://cloud.google.com/bigquery/public-data/international-census.

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

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

Switzerland Fertility Rate: Total: Births per Woman data was reported at 1.540 Ratio in 2016. This stayed constant from the previous number of 1.540 Ratio for 2015. Switzerland Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.530 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.660 Ratio in 1964 and a record low of 1.380 Ratio in 2001. Switzerland 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 Switzerland – Table CH.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.

Content

This dataset contains adjusted net national income per capita, infant mortality and total fertility rates between 1970 and 2016. It was composed by the datasets taken from the World Bank Data Catalog.

Columns

Country Name

Country Code

Region

m1970, ..., m2016: Mortality rate, infant (per 1,000 live births) between 1970 and 2016

i1970, ..., i2016: Adjusted net national income per capita (current US$) between 1970 and 2016

f1970, ..., f2016: Fertility rate, total (births per woman) between 1970 and 2016

Acknowledgements

Many thanks to the World Bank Data Catalog (https://datacatalog.worldbank.org/) for sharing numarous organized datasets with us.

Inspiration

Infant mortality, fertility and income per capita are key indicators of a country's population growth and level of development. At first sigh, we all think that these three parameters are highly correlated. So, is that true? Which countries and regions have high and low infant mortality and income per capita? What is the general trend for the parameters between different years?

Time series data for the statistic Fertility_Rate and country Bahamas, The. Indicator Definition: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.The statistic "Fertility Rate" stands at 1.37 births per woman 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 -0.4351 percent compared to the value the year prior.The 1 year change in percent is -0.4351.The 3 year change in percent is -0.938.The 5 year change in percent is -2.21.The 10 year change in percent is -21.00.The Serie's long term average value is 2.75 births per woman. It's latest available value, on 12/31/2023, is 50.13 percent lower, compared to it's long term average value.The Serie's change in percent 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 percent from it's maximum value, on 12/31/1961, to it's latest available value, on 12/31/2023, is -73.37%.

Time series data for the statistic Fertility_Rate and country Nauru. Indicator Definition: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.The statistic "Fertility Rate" stands at 3.33 births per woman 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 -1.42 percent compared to the value the year prior.The 1 year change in percent is -1.42.The 3 year change in percent is -3.89.The 5 year change in percent is -9.56.The 10 year change in percent is -18.72.The Serie's long term average value is 4.09 births per woman. It's latest available value, on 12/31/2023, is 18.55 percent lower, compared to it's long term average value.The Serie's change in percent 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 percent from it's maximum value, on 12/31/1965, to it's latest available value, on 12/31/2023, is -39.17%.

Time series data for the statistic Fertility_Rate and country Italy. Indicator Definition: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.The statistic "Fertility Rate" stands at 1.20 births per woman as of 12/31/2023, the lowest value since 12/31/1996. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.23 percent compared to the value the year prior.The 1 year change in percent is -3.23.The 3 year change in percent is -3.23.The 5 year change in percent is -8.40.The 10 year change in percent is -13.67.The Serie's long term average value is 1.65 births per woman. It's latest available value, on 12/31/2023, is 27.20 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1995, to it's latest available value, on 12/31/2023, is +0.84%.The Serie's change in percent from it's maximum value, on 12/31/1964, to it's latest available value, on 12/31/2023, is -54.89%.

Sweden SE: Fertility Rate: Total: Births per Woman data was reported at 1.850 Ratio in 2016. This stayed constant from the previous number of 1.850 Ratio for 2015. Sweden SE: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.870 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.470 Ratio in 1964 and a record low of 1.500 Ratio in 1999. Sweden SE: 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 Sweden – Table SE.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.

Time series data for the statistic Fertility_Rate and country Andorra. Indicator Definition: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.The statistic "Fertility Rate" stands at 1.08 births per woman as of 12/31/2023, the highest value since 12/31/2018. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.03 percent compared to the value the year prior.The 1 year change in percent is 1.03.The 3 year change in percent is 5.25.The 5 year change in percent is 2.75.The 10 year change in percent is -5.25.The Serie's long term average value is 1.70 births per woman. It's latest available value, on 12/31/2023, is 36.21 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2020, to it's latest available value, on 12/31/2023, is +5.25%.The Serie's change in percent from it's maximum value, on 12/31/1972, to it's latest available value, on 12/31/2023, is -62.75%.

In 2024, Monaco was the European country estimated to have the highest fertility rate. The country had a fertility rate of 2.1 children per woman. Other small countries such as Gibraltar or Montenegro also came towards the top of the list for 2024, while the large country with the highest fertility rate was France, with 1.64 children per woman. On the other hand, Ukraine had the lowest fertility rate, averaging around one child per woman.

Live births by local authority of usual residence of mother, General Fertility Rates and Total Fertility Rates. The general fertility rate (GFR) is the number of live births per 1,000 women aged 15-44. Rates are based on the most up-to-date population estimates. The General Fertility Rate (GFR) is the number of live births per 1,000 women aged 15-44. The Total Fertility Rate (TFR) is the average number of live children that a group of women would bear if they experienced the age-specific fertility rates of the calendar year in question throughout their childbearing lifespan. The TFR has been calculated using the number of live births and the mid-year population estimates (sub-nationally) and the projections (nationally) for women by single year of age. This generally produces a better match of births to those at risk of having births. However, local authority level population estimates are only considered reliable in five-year age bands. Thus, especially in small local authorities, it should be noted that rates computed using single year of age data may produce spurious results. City of London has been grouped with Hackney after 2004. Read more on the ONS website ONS have also produces birth statistics for mid-year for small areas.

Dataset Description: Worldometer Data Introduction This dataset contains detailed information on the population statistics of various countries, compiled from Worldometer. It includes demographic data such as yearly population changes, migration numbers, fertility rates, and urbanization metrics over multiple years.

Dataset Overview Total Entries: 4,104 Total Columns: 14 Columns Description country (object):

The name of the country. Example: 'India', 'China'. year (float64):

The year for which the data is recorded. Example: 2024, 2023. population (object):

The total population for the given year. Example: '1,441,719,852', '1,428,627,663'. yearly_change_pct (object):

The percentage change in population from the previous year. Example: '0.92%', '0.81%'. yearly_change (object):

The absolute change in population from the previous year. Example: '13,092,189', '11,454,490'. migrants (object):

The net number of migrants for the given year. Example: '-486,784', '-486,136'. median_age (object):

The median age of the population. Example: '28.6', '28.2'. fertility_rate (object):

The fertility rate for the given year. Example: '1.98', '2.00'. density_p_km2 (object):

The population density per square kilometer. Example: '485', '481'. urban_pop_pct (object):

The percentage of the population living in urban areas. Example: '36.8%', '36.3%'. urban_pop (object):

The total urban population for the given year. Example: '530,387,142', '518,239,122'. share_of_world_pop_pct (object):

The country's share of the world's population as a percentage. Example: '17.76%', '17.77%'. world_pop (object):

The total world population for the given year. Example: '8,118,835,999', '8,045,311,447'. global_rank (float64):

The global population rank of the country for the given year. Example: '1.0', '2.0'. Data Quality Missing Values:

Some columns have missing values which need to be handled before analysis. Columns with significant missing data: year, population, yearly_change_pct, yearly_change, migrants, median_age, fertility_rate, density_p_km2, urban_pop_pct, urban_pop, share_of_world_pop_pct, world_pop, global_rank. Data Types:

Most columns are of type object due to the presence of commas and percentage signs. Conversion to appropriate numeric types (e.g., integers, floats) is required for analysis. Potential Uses Demographic Analysis: Study population growth trends, migration patterns, and changes in fertility rates. Urbanization Studies: Analyze urban population growth and density changes over time. Global Ranking: Evaluate and compare the population statistics of different countries. Conclusion This dataset provides a comprehensive view of the world population trends over the years. Cleaning and preprocessing steps, including handling missing values and converting data types, will be necessary to prepare the data for analysis. This dataset can be valuable for researchers, demographers, and data scientists interested in population studies and demographic trends.

File Details Filename: worldometer_data.csv Size: 4104 rows x 14 columns Format: CSV Source Website: Worldometer Scraped Using: Scrapy

This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

US Monthly Birth Data

US Monthly Birth Data by State and County

By data.world's Admin [source]

About this dataset

The data was obtained from multiple sources. Data from 1985-2002 were downloaded from the National Bureau for Economic Research through the National Center for Health Statistics' National Vital Statistics System. Data from 2003-2015 were sourced using aggregators provided by CDC's WONDER tool, utilizing Year, Month, State, and County filters. It is worth noting that geolocation information for individual babies born after 2005 is not released due to privacy concerns; therefore, all data has been aggregated by month.

The spatial applicability of this dataset is limited to the United States at the county level. It covers a temporal range spanning January 1, 1985 - December 31, 2015. Each row in the dataset represents aggregated birth counts within a specific county for a particular month and year.

Additional notes highlight that this dataset expands on data presented in an essay called The Timing of Baby Making published by The Pudding website in May 2017. While only data ranging from1995-2015 were displayed in the essay itself, this dataset includes an extra ten years of birth data. Furthermore, any non-US residents have been excluded from this dataset.

The provided metadata gives a detailed breakdown of the columns in the dataset, including their descriptions and data types. The included variables allow researchers to analyze births at both individual county and state levels over time. Finally, the dataset is available under the MIT License for public use

How to use the dataset

Here is a guide on how to effectively use this dataset:

Step 1: Understanding the Columns

The dataset consists of several columns that provide specific information about each birth record. Let's understand what each column represents:

• State: The state (including District of Columbia) where the mother lives.
• County: The county where the mother lives, coded using the FIPS County Code.
• Month: The month in which the birth took place (1 = January, 2 = February, etc.).
• Year: The four-digit year of the birth.
• countyBirths: The calculated sum of births that occurred to mothers living in a county for a given month. If the sum was less than 9, it is listed as NA as per NCHS reporting guidelines.
• stateBirths: The calculated sum of births that occurred to mothers living in a state for a given month. It includes all birth counts, even those from counties with fewer than 9 births.

Step 2: Exploring Birth Trends by State and County

You can analyze birth trends by focusing on specific states or counties within specific time frames. Here's how you can do it:

• Filter by State or County:

  • Select rows based on your chosen state using the State column. Each number corresponds to a specific state (e.g., 01 = Alabama).
  • Further narrow down your analysis by selecting specific counties using their respective FIPS codes mentioned in the County column.

• Analyze Monthly Variation:

  • Calculate monthly total births within your desired location(s) by grouping data based on the Month column.
  • Compare the number of births between different months to identify any seasonal trends or patterns.

• Visualize Birth Trends:

  • Create line charts or bar plots to visualize how the number of births changes over time.
  • Plot a line or bar for each month across multiple years to identify any significant changes in birth rates.

Step 3: Comparison and Calculation

You can utilize this dataset to compare birth rates between states, counties, and regions. Here are a few techniques you can try:

• State vs. County Comparison:
  • Calculate the total births within each state by aggregating

Research Ideas

• Analyzing birth trends: This dataset can be used to analyze and understand the trends in birth rates across different states and counties over the period of 1985 to 2015. Researchers can study factors that may influence these trends, such as socioeconomic factors, healthcare access, or cultural changes.
• Identifying seasonal variations: The dataset includes information on the month of birth for each entry. This data can be utilized to identify any seasonal variations in births across different locations in the US. Understanding these variations can help in planning resources and healthcare services accordingly.
• Studying geographical patterns: By analyzing the county-level data, researchers can explore geographical patterns of childbirth throughout the United States. They can identify regions with high or low birth rates and...

This Alberta Official Statistic compares the total fertility rate (TFR) across the five Alberta Health Services Continuum Zones for 2014. The TFR represents the number of children a woman would have on average if the current age-specific fertility rates prevailed throughout her childbearing years (ages 15 to 49). It is one of the most useful indicators of fertility because it gives the best picture of how many children women are currently having.

Romania RO: Fertility Rate: Total: Births per Woman data was reported at 1.580 Ratio in 2016. This stayed constant from the previous number of 1.580 Ratio for 2015. Romania RO: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.910 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.660 Ratio in 1967 and a record low of 1.270 Ratio in 2002. Romania RO: 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 Romania – Table RO.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.

Time series data for the statistic Fertility_Rate and country Lebanon. Indicator Definition: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.The statistic "Fertility Rate" stands at 2.24 births per woman as of 12/31/2023, the lowest value since 12/31/2010. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.06 percent compared to the value the year prior.The 1 year change in percent is -1.06.The 3 year change in percent is -2.99.The 5 year change in percent is -4.60.The 10 year change in percent is -5.17.The Serie's long term average value is 3.51 births per woman. It's latest available value, on 12/31/2023, is 36.15 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2008, to it's latest available value, on 12/31/2023, is +3.08%.The Serie's change in percent from it's maximum value, on 12/31/1963, to it's latest available value, on 12/31/2023, is -62.08%.

Time series data for the statistic Fertility_Rate and country Cabo Verde. Indicator Definition: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.The statistic "Fertility Rate" stands at 1.52 births per woman 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 -0.7175 percent compared to the value the year prior.The 1 year change in percent is -0.7175.The 3 year change in percent is -4.34.The 5 year change in percent is -15.63.The 10 year change in percent is -26.37.The Serie's long term average value is 4.64 births per woman. It's latest available value, on 12/31/2023, is 67.21 percent lower, compared to it's long term average value.The Serie's change in percent 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 percent from it's maximum value, on 12/31/1965, to it's latest available value, on 12/31/2023, is -78.24%.