This EnviroAtlas dataset portrays the percentage of population within different household income ranges for each Census Block Group (CBG), a threshold estimated to be an optimal household income for quality of life, and the percentage of households with income below this threshold. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data (2008-2012). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Data on census family status and presence of parent in household, age group and gender for the population aged 20 to 34 in private households, Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021, 2016 and 2011 censuses.

About this dataset

Context

The dataset tabulates the Country Life Acres population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Country Life Acres.

Content

The dataset constitues the following two datasets across these two themes

• Country Life Acres, MO Population Breakdown by Gender
• Country Life Acres, MO Population Breakdown by Gender and Age

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/.

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: No - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - 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.

Kind of data

Census/enumeration data [cen]

Sampling procedure

SAMPLE DESIGN: Systematic manual sorting into lots with different sample units according to target population. Lots divide the population into different samples (1/4 and 3/4). 1/20 sample is selected from 1/4 sample.

SAMPLE UNIT: Private dwellings and individuals for group quarters and compte a part

SAMPLE FRACTION: 5%

SAMPLE UNIVERSE: The microdata sample includes mainland France.

SAMPLE SIZE (person records): 2,631,713

Mode of data collection

Face-to-face [f2f]

Research instrument

Separate forms for buildings, group quarters (collective households), group quarters (compte a part), private households, and boats. Four forms for individuals (living in group quarters and private dwellings; two different forms for people compte a part; living in boats).

About this dataset

Context

The dataset presents median household incomes for various household sizes in Live Oak County, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Live Oak County did not include 6, or 7-person households. Across the different household sizes in Live Oak County the mean income is $74,736, and the standard deviation is $33,248. The coefficient of variation (CV) is 44.49%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $25,625. It then further increased to $102,411 for 5-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 Live Oak County median household income. You can refer the same here

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Abstract

The objective of the Population and housing census 2000 is to provide comprehensive and basic statistical data required to study changes in economic, social and demographic status of Mongolia for the last 11 years and its reasons and determinants, to plan economic and social development of the first years of next century and formulate state policies to implement such planned measures and make researches and analysis. As well as, it would be collected compiled new data required to assess a process of first stage of implementation and elaborate for the “Population Development Policy of Mongolia”, which approved by the parliament.

The advantage of census conducting is to be provided comprehensive information for summarizing and evaluating states of population growth, migration, settlement, education, employment, housing condition and behavior of the population groups processed and disaggregated by all administrative units compared with other population data sources. Moreover, census is significant to provide accurate data to international partners at the present time, which Mongolian foreign relations have expanding and collaboration with international organization has becoming more close. The census would be crucial for revision of accuracy and reality of annual population statistics.

Geographic coverage

All aimags, soums, districts, bags, horoos and capital city.

Analysis unit

• Households
• Houses
• Member of households

Universe

a.Population census

The census shall be covered the persons as followed:

• Citizens of Mongolia who are in the country at the time of census;
• Foreigners and persons without citizenship who are living in Mongolia for more than 183 days and foreigners persons without citizenship who are taking permission to stay for over 6 months from the authorized organizations;
• Citizens of Mongolia and their families who worked at the diplomatic representative offices, consulates and in the international organizations in foreign countries at the time of census;
• Citizens of Mongolia who are temporarily absent from Mongolia due to work, study and stay in overseas by personal reasons during the census period;

b.Housing census

The following types of living quarters shall be covered in the housing census: - House - Apartment - Students dormitory - Public dormitory - Other public apartment - Non-living quarters - All types of gers

Another important concept for the measurement of coverage related to the timing of the census. While the enumeration covered the seven-day period from 5-11 January 2000, it is important for the interpretation of the data that the census results relate to a more precise point in time. The night of 4th January 2000 was designated as census night. Generally, this concept of a fixed census night did not cause problems for respondents or enumerators. However, in the few cases where location on census night did introduce difficulty, where, for example, the respondent traveled during census night, the more precise time reference of midnight on census night was introduced.

Kind of data

Census/enumeration data [cen]

Sampling procedure

None sampled.

Sampling deviation

None reported

Mode of data collection

Face-to-face [f2f]

Research instrument

The design of the population and housing questionnaire is fundamental to the census. A housing census was also conducted in which questions were posed that covered conventional and traditional housing (gers) and household characteristics. While most of the questions asked about conventional housing followed international recommendations, the questions about gers clearly reflected the uniqueness of the Mongolian culture. Population and housing census 2000 questionnaire included: 1 Social and demographic characteristics - Name - Relation to household head - Date of birth - Age - Sex - Marital status - Citizenship - Ethnicity 2 Geographical and migration characteristics - Residential status - Duration of residence - Place of birth - Place of residence five years ago 3 Educational characteristics - Educational level - Literacy - School attendance 4 Economic characteristics - Activity status - Occupation - Industry - Employment status - Unemployment

Questionnaire and Population and Housing Census 2000_ Enumerator_Manual are provided as external resources.

Cleaning operations

During the early planning stages it was clear that the existing hardware and peripherals in NSO were not sufficient to enable it to process a modern census. However, with the financial assistance of UNFPA, under the MON/97/P10 project, “Strengthening the Capacity of the National Statistical Office in Data Processing, Analysis and Dissemination”, and the MON/97/P04 project, “Strengthening the Population and Reproductive Health Database for Mongolia”, NSO was provided with new equipment, components and software. It was thus able to establish the basis for strengthening the technical capacity required for the 2000 census. The NSO purchased a range of equipment including 38 Compaq computers, two ACER server computers and other equipment.

On the software side, the NSO decided to process the census using IMPS (Integrated Microcomputer Processing System). Apart from the use of IMPS, the NSO developed other census applications, for example, using the CLIPPER and VISUAL BASIC languages. A special application to speed coding named SEARCH was also developed. Data entry was designed for LAN using a Windows NT Server V4.0 as the control center. The system facilitated data processing, restricting archiving and control functions to the server. Daily progress reports were also provided as part of the Data Control System. Editing was completed in two stages. In the first stage records were edited manually and in the second they were automatically edited using the editing module of the IMPS package, Concor. The BPCS staff monitored editing work. All editing was completed by 15 October 2000.

Response rate

None reported

Sampling error estimates

None reported

Data appraisal

None reported

VITAL SIGNS INDICATOR Poverty (EQ5)

FULL MEASURE NAME The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED December 2018

DESCRIPTION Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE U.S Census Bureau: Decennial Census http://www.nhgis.org (1980-1990) http://factfinder2.census.gov (2000)

U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.gov

METHODOLOGY NOTES (across all datasets for this indicator) The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

This dataset provides annual numbers for each state in the United States for 2013-2018. Includes the following data: total population, median income, and number of people living at or below the poverty level.

Helpful information on using U.S. Census data is found at https://censusreporter.org/

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

Living quarters

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

UNIT DESCRIPTIONS: - Group quarters: Living quarters which is built or converted for living (e.g. house, flat, apartment, shophouse, makeshift hut, hotel, hostels, etc.).

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Department of Statistics, Malaysia

SAMPLE FRACTION: 2%

SAMPLE SIZE (person records): 175,997

Mode of data collection

Face-to-face [f2f]

Research instrument

Five separate forms constitute the total questionnaire. There was a House Listing Book, a Living Quarters Form, an Agricultural Census Form, a Household Census Form and a Persons Form. For ease of reference those were designated as Forms 1, 2, 3, 4, and 5 respectively.

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

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes (institutional) - Special populations: Homeless, boat people

UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people who inhabit part or all of the physical or census building and usually live together and eat together from one kitchen. One kitchen means that the daily needs are managed and combined into one. - Group quarters: An institutional household includes people living in a dormitory, barracks, or insitution where everyday needs are managed by an institution or foundation. Also includes groups of 10 or more people in lodging houses or buildings.

Universe

All population, Indonesian and foreign, residing in the territorial area of Indonesia, regardless of residence status. Includes homeless, refugees, ship crews, and people in inaccessible areas. Diplomats and their families residing in Indonesia were excluded.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Statistics Indonesia

SAMPLE DESIGN: Geographically stratified systematic sample (drawn by MPC).

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 22,928,795

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires: C1 to enumerate regular households living in areas covered in the census mappling; C2 for the population living in areas not included in the mapping, such as remote areas; and L2 for the homeless, boat people, and tribes.

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

Census household

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: A structure occupied by one or more households or a group of generally unrelated persons living collectively for reasons of simple cohabitation, work, etc. - Households: Groups of persons living like a family: sharing a budget and living space, whether or not they are related. - Group quarters: Collective dwellings include group living arrangements in which people reside permanently. They include homes for the elderly, orphanages, asylums, hotels and the like, if persons live in them permanently.

Universe

All residents of the national territory, including Juventud Island, excluding the Guantanamo naval base.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Office of Statistics of the Republic of Cuba

SAMPLE DESIGN: Systematic sample of every 10th household with a random start

SAMPLE UNIT: Dwelling

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 1,118,767

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form with sections on houesholds and persons

Response rate

COVERAGE: Complete enumeration (99%)

Total income by census family type and living arrangement (number, average, median and percentage).

This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. This measure answers the question of what number and percentage of residents are living below the federal poverty level, which means they meet certain thresholds set by a set of parameters and computation performed by the Census Bureau. Following the Office of Management and Budget's (OMB) Statistical Policy Directive 14, the Census Bureau uses a set of money income thresholds that vary by family size and composition to determine who is in poverty. If a family's total income is less than the family's threshold, then that family and every individual in it is considered in poverty. The official poverty thresholds do not vary geographically, but they are updated for inflation using the Consumer Price Index (CPI-U). The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). Data collected from the U.S. Census Bureau, American Communities Survey (1yr), Poverty Status in the Past 12 Months (Table S1701). American Communities Survey (ACS) is a survey with sampled statistics on the citywide level and is subject to a margin of error. ACS sample size and data quality measures can be found on the U.S. Census website in the Methodology section. View more details and insights related to this data set on the story page:https://data.austintexas.gov/stories/s/kgf9-tcgd

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

Households

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household. - Households: A household is a social unit consisting of a person living alone or a group of persons who sleep in the same housing unit and have a commong arrangement in the presparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.

Universe

Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistics Office

SAMPLE DESIGN: Systematic sampling

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE UNIVERSE: Microdata are available for 100%

SAMPLE SIZE (person records): 6,864,758

Mode of data collection

Face-to-face [f2f]

Research instrument

Form 1: Listing Sheet, Form 2: Household Questionnaire, and Form 3: Institutional Population Questionnaire

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

Household

UNITS IDENTIFIED: - Dwellings: Not available in microdata sample - Vacant units: Not available in microdata sample - Households: Yes - Individuals: Yes - Group quarters: Includes but not identified - Special populations: No special populations

UNIT DESCRIPTIONS: - Households: A group of persons living together in the same dwelling who prepare most of their meals together. Generally, this term is identical with members of a family who live in the same dwelling. A person living alone is considered to be a household. - Group quarters: An administrative unit that provides dormitory facilities and usually food services to at least five individuals.

Universe

Permanent residents of Israel, including those who were abroad on the census date but had been absent from Israel no longer than one year continuously. Jewish persons living in Jewish localities in administered territories.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Central Bureau of Statistics - Israel

SAMPLE DESIGN: Systematic sample of every 5th household after a random start. 1-in-2 sample drawn from that by MPC.

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 315,608

Mode of data collection

Face-to-face [f2f]

Research instrument

The census was conducted in two stages and for each one there a separate enumeration form. In the first stage (A), the entire population was enumerated. The stage A questionnaire was designed to cover all households and every member in the houusehold.

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

Households

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted or arranged is intended for habitation by one or more households. Structures or parts of structures not intended for habitation such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, etc., but used as living quarters by households are also considered as housing units. - Households: A household is a social unit consisting of a person living alone or a group of persons who (1) sleep in the same housing unit and (2) have a common arrangement for the preparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.

Universe

Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistics Office

SAMPLE DESIGN: Systematic cluster sampling

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE UNIVERSE: Microdata are available for 100% samples

SAMPLE SIZE (person records): 7,417,810

Mode of data collection

Face-to-face [f2f]

Research instrument

Three used: CPH Form 2- Common Household Questionnaire; 3- Sample Household questionnaire;and 4 - Instituttional Population Questionnaire

Response rate

COVERAGE: 100%

We developed a model for analyzing multi-year demographic data for long-lived animals and used data from a population of Agassiz’s desert tortoise (Gopherus agassizii) at the Desert Tortoise Research Natural Area in the western Mojave Desert of California, USA, as a case study. The study area was 7.77 square kilometers and included two locations: inside and outside the fenced boundary. The wildlife-permeable, protective fence was designed to prevent entry from vehicle users and sheep grazing. We collected mark-recapture data from 1,123 tortoises during 7 annual surveys consisting of two censuses each over a 34-year period. We used a Bayesian modeling framework to develop a multistate Jolly-Seber model because of its ability to handle unobserved (latent) states and modified this model to incorporate the additional data from non-survey years. For this model we incorporated 3 size-age states (juvenile, immature, adult), sex (female, male), two location states (inside and outside the fenced boundary) and 3 survival states (not-yet-entered, entered/alive, and dead/removed). We calculated population densities and estimated probabilities of growth of the tortoises from one size-age state to a larger size-age state, survival after 1 year and 5 years, and detection. Our results show a declining population with low estimates for survival after 1 year and 5 years. The probability for tortoises to move from outside to inside the boundary fence was greater than for tortoises to move from inside the fence to outside. The probability for detecting tortoises differed by size-age state and was lowest for the smallest tortoises and highest for the adult tortoises. The framework for the model can be used to analyze other animal populations where vital rates are expected to vary depending on multiple individual states. The model was incorporated into the manuscript that included several other databases for publication in Wildlife Monographs in 2020 by Berry et al.

This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). Estimates were produced for 65,662 census tracts, covering the District of Columbia (D.C.) and all states, excluding Maine and Wisconsin, representing 88.7% of all U.S. census tracts (see notes). These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF) (2).