The Population Database of Mexico contains geographically referenced population data for Mexican states, municipalities and localities from the 1990 Mexican population and housing census. The data include population by gender and age group for approximately 83.7% of the Mexican population. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

As a source of animal and plant population data, The Global Population Dynamics Database is unrivalled. Nearly five thousand separate time series are available here. In addition to all the population counts, there are taxonomic details of over 1400 species. The type of data contained in the GPDD varies enormously, from annual counts of mammals or birds at individual sampling sites, to weekly counts of zooplankton and other marine fauna. The project commenced in October 1994, following discussions on ways in which the collaborating partners could make a practical and enduring contribution to research into population dynamics. A small team was assembled and, with assistance and advice from numerous interested parties we decided to construct the database using the popular Microsoft Access platform. After an initial design phase, the major task has been that of locating, extracting, entering and validating the data in all the various tables. Now, nearly 5000 individual datasets have been entered onto the GPDD. The Global Population Dynamics Database comprises six Tables of data and information. The tables are linked to each other as shown in the diagram shown at http://cpbnts1.bio.ic.ac.uk/gpdd/Structur.htm. Referential integrity is maintained through record ID numbers which are held, along with other information in the Main Table. It's structure obeys all the rules of a standard relational database.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Use these interactive dashboards to explore data on Massachusetts incarcerated populations, admissions and releases.

The United Nations Energy Statistics Database (UNSTAT) is a comprehensive collection of international energy and demographic statistics prepared by the United Nations Statistics Division. The 2004 version represents the latest in the series of annual compilations which commenced under the title World Energy Supplies in Selected Years, 1929-1950. Supplementary series of monthly and quarterly data on production of energy may be found in the Monthly Bulletin of Statistics. The database contains comprehensive energy statistics for more than 215 countries or areas for production, trade and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. Mid-year population estimates are included to enable the computation of per capita data. Annual questionnaires sent to national statistical offices serve as the primary source of information. Supplementary data are also compiled from national, regional and international statistical publications. The Statistics Division prepares estimates where official data are incomplete or inconsistent. The database is updated on a continuous basis as new information and revisions are received. This metadata file represents the population statistics during the expressed time. For more information about the country site codes, click this link to the United Nations "Standard country or area codes for statistical use": https://unstats.un.org/unsd/methodology/m49/overview/

CU: Population: Female: Ages 40-44: % of Female Population data was reported at 5.422 % in 2023. This records an increase from the previous number of 5.349 % for 2022. CU: Population: Female: Ages 40-44: % of Female Population data is updated yearly, averaging 6.143 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 9.589 % in 2007 and a record low of 5.051 % in 1974. CU: Population: Female: Ages 40-44: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 40 to 44 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk.

Rural population in World was reported at 3445666944 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

About this dataset

Context

The dataset tabulates the population of Wilber by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Wilber across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 53.99% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Wilber is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Wilber total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Wilber Population by Race & Ethnicity. You can refer the same here

Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

KM: Population: Female: Ages 55-59: % of Female Population data was reported at 2.912 % in 2022. This records an increase from the previous number of 2.895 % for 2021. KM: Population: Female: Ages 55-59: % of Female Population data is updated yearly, averaging 2.445 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 3.035 % in 1966 and a record low of 1.841 % in 2003. KM: Population: Female: Ages 55-59: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 55 to 59 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2022 Revision.;;

About this dataset

Context

The dataset tabulates the population of Parks by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Parks across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 52.97% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Parks is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Parks total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Parks Population by Gender. You can refer the same here

LandScan Global Population Database 2011. Population counts at 30 arc second resolution.

Detailed information are to be found in cover_letter_ls11.pdf.

About this dataset

Context

The dataset tabulates the population of Lenox by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lenox. The dataset can be utilized to understand the population distribution of Lenox by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lenox. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lenox.

Key observations

Largest age group (population): Male # 15-19 years (114) | Female # 10-14 years (128). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Lenox population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lenox is shown in the following column.
• Population (Female): The female population in the Lenox is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Lenox for each age group.

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 Lenox Population by Gender. You can refer the same here

PA: Population: Male: Ages 25-29: % of Male Population data was reported at 7.782 % in 2017. This records a decrease from the previous number of 7.844 % for 2016. PA: Population: Male: Ages 25-29: % of Male Population data is updated yearly, averaging 8.030 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.853 % in 1999 and a record low of 7.084 % in 1963. PA: Population: Male: Ages 25-29: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Panama – Table PA.World Bank: Population and Urbanization Statistics. Male population between the ages 25 to 29 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

PE: Population: Female: Ages 0-4: % of Female Population data was reported at 9.202 % in 2017. This records a decrease from the previous number of 9.335 % for 2016. PE: Population: Female: Ages 0-4: % of Female Population data is updated yearly, averaging 13.713 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17.882 % in 1966 and a record low of 9.202 % in 2017. PE: Population: Female: Ages 0-4: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Population and Urbanization Statistics. Female population between the ages 0 to 4 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

About this dataset

Context

The dataset tabulates the population of Owaneco by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Owaneco across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 57.39% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Owaneco is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Owaneco total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Owaneco Population by Race & Ethnicity. You can refer the same here

HR: Population: Female: Ages 60-64: % of Female Population data was reported at 7.448 % in 2023. This records a decrease from the previous number of 7.499 % for 2022. HR: Population: Female: Ages 60-64: % of Female Population data is updated yearly, averaging 6.002 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7.562 % in 2020 and a record low of 3.530 % in 1979. HR: Population: Female: Ages 60-64: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 60 to 64 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

About this dataset

Context

The dataset tabulates the population of Owasco town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Owasco town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.65% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Owasco town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Owasco town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Owasco town Population by Race & Ethnicity. You can refer the same here

HU: Population: Male: Ages 60-64: % of Male Population data was reported at 6.988 % in 2017. This records a decrease from the previous number of 7.121 % for 2016. HU: Population: Male: Ages 60-64: % of Male Population data is updated yearly, averaging 5.170 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.123 % in 2015 and a record low of 3.094 % in 1980. HU: Population: Male: Ages 60-64: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 60 to 64 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;