Analysis unit

Persons, households, and dwellings Age is grouped into categories

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Not specified - Households: A group of people, bound by marriage, kinship, affinity, adoption, guardianship or emotional ties, who are partners and live in the same Municipality. - Group quarters: Not specified

Universe

All population who reside in Italy and all persons who do not live in Italy but are present at the time of the census

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics

SAMPLE SIZE (person records): 2990739.

SAMPLE DESIGN: Systematic sample of every 20th dwelling.

Mode of data collection

Face-to-face [f2f]

Research instrument

A single booklet of Household Form with five sections: 1) List A: household members, 2) List B: individuals who do not usually reside in the accommodation, 3) Section I, information on the dwelling (for all persons in List A and List B), 4) Section II, information on the individuals who usually reside in the accomodation (persons on List A), and 5) Section III, information on individuals who do not usually reside in the dwelling (persons on List A). Section I to III are de-identified with names removed.

"Ratio of Homeless Population to General Population in major US Cities in 2009. *This represents a list of large U.S. cities with a similar street count methodology for which DHS was able to confirm a recent Census; 2009 results are not yet available for LA, SF, and Chicago. All population figures are from the 2007 U.S. Census Bureau Population Estimate."

The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state boundaries, and available for download from the website.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: no - Households: Yes - Group quarters: A collective household is a group of persons that does not live in an ordinary household, but lives in a collective establishment, sharing meal times.

Universe

Residents of France, of any nationality. Does not include French citizens living in other countries, foreign tourists, or people passing through. Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households. Legal population refers to the population without duplicate counts (population sans double compte) and the institutional population (population comptee a part).

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: INSEE (Institut National de la Statisque et des Etudes Economiques)

SAMPLE SIZE (person records): 2934758.

SAMPLE DESIGN: 1/20 sample: A 1/5 systematic sample selected from 1/4 sample. 1/4 sample: a systematic sample of every 4th dwelling (or individual from institutional households). Dwellings, either for households/quasi-households or vacant dwellings, are sorted by locality and household size (if for households/quasi-households), before sampling. Individuals from communities/quasi-communities are sorted by locality, type of community and date of birth before sampling. All individuals within households constitute the 1/4 sample. Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households. Legal population refers to the population without duplicate counts (population sans double compte) and the institutional population (population comptee a part).

Mode of data collection

Face-to-face [f2f]

Research instrument

Form 1A for dwelling consists of (1) dwelling characteristics, (2) List A. permanent occupants of the dwelling, (3) List B. household members who do not live in the dwelling of enumeration, and (4) building characteristics; Form 2B. Individual form.

About this dataset

Context

The dataset tabulates the data for the Wilsonville, OR population pyramid, which represents the Wilsonville 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 Wilsonville, OR, is 21.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wilsonville, OR, is 24.6.
• Total dependency ratio for Wilsonville, OR is 46.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wilsonville, OR is 4.1.

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

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State House Districts for New Mexico as posted on the Census Bureau website for 2006.

About this dataset

Context

The dataset tabulates the data for the Normal, IL population pyramid, which represents the Normal 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 Normal, IL, is 18.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Normal, IL, is 15.4.
• Total dependency ratio for Normal, IL is 34.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Normal, IL is 6.5.

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

Population, female (% of total population) in World was reported at 49.72 % in 2024, 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 August of 2025.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Occupied dwelling

UNITS IDENTIFIED: - Dwellings: No - Households: Yes - Individuals: Yes - Group quarters: Not identified

UNIT DESCRIPTIONS: - Group quarters: Not defined

Universe

Mexican residents, excluding foreign diplomats; includes Mexican diplomats, military, and sailors, including their families, resident in other countries

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: INEGI. Constructed from a sample of enumeration forms to obtain preliminary results for the census

SAMPLE DESIGN: Systematic sample of every hundredth dwelling, after a random start.

SAMPLE UNIT: Dwellings

SAMPLE FRACTION: 1%

SAMPLE SIZE (person records): 483,405

Mode of data collection

Face-to-face [f2f]

Research instrument

Separate enumeration form for each dwelling

Response rate

UNDERCOUNT: No official estimates

About this dataset

Context

The dataset tabulates the data for the Allendale, NJ population pyramid, which represents the Allendale 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 Allendale, NJ, is 35.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Allendale, NJ, is 30.0.
• Total dependency ratio for Allendale, NJ is 65.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Allendale, NJ is 3.3.

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

Total population for the State of Iowa based data collected over a 60 month period. Data is from the American Community Survey, Five Year Estimates, Table B02001.

This statistic compares the number of licensed drivers to the number of residents in the U.S. from 1991 to 2020. Of the roughly *** million people living in the United States in 2020, some *** millions had a valid driver's license.

As of 2023, approximately ***** million inhabitants in Peru were aged between 15 and 64. Not only has the South American nation's population increased continuously since 2010, demographic data shows Peru's population is aging, as the number of inhabitants in the age range above 65 years has decreased over the last year and reached **** million in 2023.

This data collection contains telephone survey responses from June 1977, when a representative national sample of 4,079 persons was selected and interviewed by the United States Department of the Interior's Bureau of Outdoor Recreation. The purpose of the study was to determine the importance of outdoor recreation to the American people, patterns of recreational land use, trends in recreation, the users of federal land, and the deterrents, satisfactions, and preferences for outdoor recreation. Respondents answered questions about their level of participation in over 30 specific outdoor recreational activities, their level of satisfaction with existing facilities, the importance they placed on having outdoor recreation facilities within walking distance and within one hour's driving distance, how much they used outdoor recreation facilities in each season of the year, the impact of the price of gasoline on the number and duration of auto trips taken to outdoor recreation areas, and preferences for allocation of federal recreation funds in the future. Personal information includes respondents' age, sex, race, highest level of schooling completed, occupation, hours employed per week, number of days of vacation per year, income, urban or rural residence, and household composition. The United State Department of the Interior also conducted a separate but related survey during the same year on a national sample of respondents in person at 153 federal recreation areas (see OUTDOOR RECREATION SURVEY, 1977: FEDERAL ESTATE SURVEY [ICPSR 7680]). The primary reason for conducting two separate studies was to ensure representative samples for comparing recreation characteristics of the entire citizenry of the United States with those who pursue recreational activities on federal land.

Homelessness is a social crisis in the United States of America. According to McKinney–Vento Homeless Assistance Act, homeless people are those who lack a fixed, regular and adequate nighttime residence. "Ratio of Homeless Population to General Population in major US Cities in 2012.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Dwelling

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: Not specified - Households: A group of people, bound by marriage, kinship, affinity, adoption, guardianship or emotional ties, who are partners and live in the same Municipality. - Group quarters: Not specified

Universe

All population who reside in Italy and all persons who do not live in Italy but are present at the time of the census

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics

SAMPLE DESIGN: Systematic sample of every 20th dwelling.

SAMPLE UNIT: Household

SAMPLE FRACTION: 5%

SAMPLE SIZE (person records): 2,990,739

Mode of data collection

Face-to-face [f2f]

Research instrument

A single booklet of Household Form with five sections: 1) List A: household members, 2) List B: individuals who do not usually reside in the accommodation, 3) Section I, information on the dwelling (for all persons in List A and List B), 4) Section II, information on the individuals who usually reside in the accomodation (persons on List A), and 5) Section III, information on individuals who do not usually reside in the dwelling (persons on List A). Section I to III are de-identified with names removed.

Response rate

COVERAGE: 100%

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were released in the summer of 2011. The data in this particular RGIS Clearinghouse table are for all blocks in Valencia County. The data table provides counts of the total population. This file, along with specific narrative descriptions and definitions (in Word and text formats) are available in a single zip file.

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was reSan Miguelsed on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were reSan Miguelsed in the summer of 2011. The data in this particular RGIS CSan Miguelringhouse table is for all Block Groups in San Miguel County. The table provides total counts population.

In 2023, the population of Poland was over **** million, the majority of who were living in the urban areas.

As of 2020, the number of new cancer cases amongst women in Saudi Arabia was **** thousand. In that year, the total population of Saudi Arabia was just over ** million, consisting of almost **** million men and about **** million women.