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).
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.
National coverage
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: Each person living alone and each group of related persons living in a single dwelling unit constitutes a household. Unrelated persons living in a single dwelling unit constitute a household if they prepare meals of their meals together. - Group quarters: An administrative unit that provides dormitory facilities and usually food services to at least five individuals.
Persons who on the census night lived at an address in the area covered, including those found abroad on the census night who had been absent from the area covered for less than one year.
Census/enumeration data [cen]
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): 403,474
Face-to-face [f2f]
Two enumeration forms were used: a "short form" and a "long form". The "short form" was given to 80 percent of the families and comprised questions concerning basic demographic topics for each person in the family. The rest of families (20 percent) were given the long form.
COVERAGE: 97.73%
Data on census family status and household living arrangements, household type of person, age group and gender for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021, 2016 and 2011 censuses.
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License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Household Sizes:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Live Oak County median household income. You can refer the same here
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/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Live Oak: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Live Oak median household income by age. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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
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).
The Families and Households data from the 2021 Federal Census covers household, household size, census family, and marital status. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.
Household refers to a person or group of persons who occupy the same dwelling and do not have a usual place of residence elsewhere in Canada or abroad. The dwelling may be either a collective dwelling or a private dwelling. The household may consist of a family group such as a census family, of two or more families sharing a dwelling, of a group of unrelated persons or of a person living alone. Household members who are temporarily absent on reference day are considered part of their usual household.
Household size refers to the number of persons in a private household.
Census family refers to a married couple and the children, if any, of either and/or both spouses; a couple living common law and the children, if any, of either and/or both partners; or a parent of any marital status in a one‑parent family with at least one child living in the same dwelling and that child or those children. All members of a particular census family live in the same dwelling.
Children may be biological or adopted children regardless of their age or marital status as long as they live in the dwelling and do not have their own married spouse, common‑law partner or child living in the dwelling. Grandchildren living with their grandparent(s) but with no parents present also constitute a census family.
One-parent refers to mothers or fathers, with no married spouse or common-law partner present, living in a dwelling with one or more children.
Marital status refers to whether or not a person is living in a common‑law union as well as the legal marital status of those who are not living in a common‑law union. All persons aged less than 15 are considered as never married and not living common law. Possible marital statuses are: Common-law, Divorced, Married, Separated, Single, and Widowed.
This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
This is the tenth census undertaken by the Statistics Office, the first being in 1971, and it has been held every five years ever since.
The census counts all persons present in the Cook Islands on the census night of the 1st December 2016, including visitors temporary in the country. Cook Islanders who are living or are temporarily on vacation abroad are excluded.
Organisation
The overall organisation and control of the census, by virtue of the Statistics Act 2016, is vested upon the Government Statistician who, for the purpose of the census will be referred to as the Census Officer. A number of sections of the Act apply in carrying out the census. These include the “confidentiality” clause, which provides against the release or publication of any individual particulars and the offences and penalty clauses, which may be invoked against any persons failing to abide by the provisions of the Act.
Scope and Coverage
The scope of the early Cook Islands censuses was limited; in fact they consisted of head counts only. With the passage of time the census has expanded. Gradually, questions on sex, age, marital status, religion, education, employment, etc., have been included. Questions on unpaid work and income earned were included for the first time in the 1996 Census. In the 2016 Census, questions on relationship to head of household was expanded to reflect household living arrangement.
A personal questionnaire is completed for every man, woman and child alive at midnight on census night within the geographical boundaries of the Cook Islands. The Census excludes those persons on foreign vessels, yachts and aircraft flying through or stopping temporarily (transit). A dwelling questionnaire is completed for every occupied dwelling as at midnight on census night.
Objectives of the Census Taking account of the many comments, evaluations and recommendations arising from the 2011 Census, the design of the 2016 Census is based on a number of key strategic aims: 1) to give the highest priority to getting the national and local population counts right; 2) to maximise overall response and minimise differences in response rates in specific areas and among particular population sub-groups; 3) to build effective partnerships with other organisations, particularly local authorities, in planning and executing the field operation; 4) to provide high quality, value-for-money, statistics that meet user needs ; 5) to protect, and be seen to protect, confidential personal census information.
The selection of topics and questions The topic content of the 2016 Census has been driven largely by the demands and requirements of users of census statistics, the evaluation of the 2016 and 2011 Census, and the priority of government as stated in the National Strategic Development Plan of the Cook Islands (NSDP) and the advice and guidance of organizations with experience of similar operations. These have been determined by extensive consultation with various Ministries of government and Non-Governmental Organizations (NGOs).
National coverage.
Households and Individuals.
A Dwelling Questionnaire must be completed for every occupied dwelling as at midnight on Census Night. A Personal Questionnaire must be completed for each and every man, woman and child alive at midnight on Census Night within the geographical boundaries of the Cook Islands, excluding those persons on foreign vessels, yachts and aircraft flying through or stopping temporarily (transit).
Census/enumeration data [cen]
Computer Assisted Personal Interview [capi]
-The selection of topics and questions: The topic content of the 2016 Census has been driven largely by the demands and requirements of users of census statistics, the evaluation of the 2016 and 2011 Census, and the priority of government as stated in the National Strategic Development Plan of the Cook Islands (NSDP) and the advice and guidance of organizations with experience of similar operations. These have been determined by extensive consultation with various Ministries of government and Non-Governmental Organizations (NGOs).
-The census questions: The topics proposed for the census are those that have been shown to be most needed by the major users of census information and for which questions have been devised that can be expected to produce reliable and accurate data. In each case, no other comparable and accessible source of the information is available in combination with other items in the census. Consultation on the topic content for the 2016 Census has (as ever) resulted in a much larger demand for questions than would be possible to accommodate on a census form that households could reasonably be expected to complete. Consequently a number of difficult decisions have had to be made in assessing the different requirements for information and balancing the needs for change against continuity. In assessing which topics should be included in the census, Statistics Office has had to consider a number of factors. The criteria for evaluating the strength of users' requirements for information were that: ? there should be a clearly demonstrated and signi?cant need ? the information collected was of major national importance ? users' requirements could not adequately be met by information from other sources ? there should be a requirement for multivariate analysis (that is the ability to cross-analyse one variable against other), and ? there should be consideration of the ability for comparison with previous censuses wherever possible
So therefore were 2 questionnaires or forms used for the Census and they are: 1. Dwelling form - consist of the housheholds information on dwelling type, land tenure, dwelling materials, water and sanitation, energy, household facilities, solid waste, agriculture and fishing activities and equipments, household consumption, communication technology etc. and household relationship to head 2. Personal form - consist of the every member/individuals of the households' information on nationality, migration, ethnic origin, marital status, religion, physically challenged, literacy, information technology, education, training attainment, occupation, industry, employment, income, smoking, drinking, cultural activities and fertility
They were published in english and all are provided as external resources.
After sending the forms to Statistics New Zealand for scanning, Cook Islands Statistics Office (CISO) staff then carry out the coding of the industries and occupation and the first visual editing if there are some inconsistencies in the questionnaire mainly using the Access software, and the tabulations is carried-out in both Access and Excel ready for analysis and report writing.
The census date was midnight, the 23rd of July 2018.
The Census is the official count of population, household and dwellings in Wallis & Futuna and it gives a general overview of the country at one specific point in time: 23rd of July 2018. Since 1969 until 2003, Census has been taken once in every 7 or 6 years and every 5 years from 2003.
The census can be the source of information for allocation of public funding, more particularly in areas such as health, education and social policy. The main users of the information provided by the Census are the government, education facilities (such as schools and tertiary organizations), local authorities, businesses, community organizations and the public in general.
The objectives of Census changed over time shifting from earlier years where they were essentially household registrations and counts, to now where a national population census stands supreme as the most valuable single source of statistical data for Wallis & Futuna. This Census allowed to determine the legal population of Wallis and Futuna in all geographical aspects: Wallis island, Futuna island, the 3 "circonsriptions" (Alo, Sigave, Uvea) and 5 districts (Alo, Sigave, Hahake, Hihifo, Mua).
Census data is now widely used to evaluate: - The availability of basic household needs in key sectors, to identify disadvantaged areas and help set priorities for action plans; - Benefits of development programmes in particular areas, such as literacy, employment and family planning;
In addition, census data is useful to asses manpower resources, identify areas of social concern and for the improvement in the social and economic status of women by giving more information about this part of the population and formulating housing policies and programmes and investment of development funds.
National coverage.
Households and Individuals.
The Census is covering all people alive on the reference date (23rd of July 2018), that are usually living in Wallis and Futuna - whichever nationality they are, for at least 12 months. The Census covered all household and communitiy members. Communities are considered to be: boarding schools, gendarmerie, retirement homes, religious communities, but also people living in mobile dwelling (e.g. boats) and homeless people.
Census/enumeration data [cen]
Not applicable as it is a full coverage.
Face-to-face [f2f]
There are two types of questionnaire for this Census:
Individual sheet (Feuille de Logement or "FL"): describing the dwelling characteristics and enlisting all the individuals living in it; Individual form (Bulletin Individuel or "BI"): information on each individual that are usually living in the household.
The questionnaires were distributed in French and are available in the "External Resources" section.
Data editing was done by SPC in collaboration with Wallis and Futuna NSO.
Not applicable.
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.
National coverage
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.
Residents of France, of any nationality. Does not include French citizens living in other countries, foreign tourists, or people passing through.
Census/enumeration data [cen]
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
Face-to-face [f2f]
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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The life-cycle age groups are:under 15 years15 to 29 years30 to 64 years65 years and over.Map shows the percentage change in the census usually resident population count for life-cycle age groups between the 2018 and 2023 Censuses.Download lookup file from Stats NZ ArcGIS Online or Stats NZ geographic data service.FootnotesGeographical boundariesStatistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.Subnational census usually resident populationThe census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. Caution using time seriesTime series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).About the 2023 Census datasetFor information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings. Data qualityThe quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.Quality rating of a variableThe quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable. Age concept quality ratingAge is rated as very high quality. Age – 2023 Census: Information by concept has more information, for example, definitions and data quality.Using data for goodStats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga".ConfidentialityThe 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.
How many households are in the U.S.?
In 2023, there were 131.43 million households in the United States. This is a significant increase from 1960, when there were 52.8 million households in the U.S.
What counts as a household?
According to the U.S. Census Bureau, a household is considered to be all persons living within one housing unit. This includes apartments, houses, or single rooms, and consists of both related and unrelated people living together. For example, two roommates who share a living space but are not related would be considered a household in the eyes of the Census. It should be noted that group living quarters, such as college dorms, are not counted as households in the Census.
Household changes
While the population of the United States has been increasing, the average size of households in the U.S. has decreased since 1960. In 1960, there was an average of 3.33 people per household, but in 2023, this figure had decreased to 2.51 people per household. Additionally, two person households make up the majority of American households, followed closely by single-person households.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The units of geography used for the 2010 Census maps displayed here are the Census tracts. Census tracts generally have a population size between 1 - 200 and 8 - 000 people - with an optimum size of 4 - 000 people. When first delineated - census tracts were designed to be homogeneous with respect to population characteristics - economic status - and living conditions. Census tract boundaries generally follow visible and identifiable features. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances - a census tract may consist of noncontiguous areas. The data collected on the short form survey are general demographic characteristics such as age - race - ethnicity - household relationship - housing vacancy and tenure (owner/renter).Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Demographics/MD_CensusData/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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.
All aimags, soums, districts, bags, horoos and capital city.
a.Population census
The census shall be covered the persons as followed:
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.
Census/enumeration data [cen]
None sampled.
None reported
Face-to-face [f2f]
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.
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.
None reported
None reported
None reported
This series of cross-tabulations will present a portrait of Canada based on various census topics. They will range in complexity and will be available for various levels of geography. A number of the tabulations will be available on the day of release for each topic, while others will follow several months later. Content varies form a simple overview of the country, then move to more complex cross-tabulations and will include current and previous census data.
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).