In 2021, survey data on book readers in the United States revealed that ** percent of female respondents stated they had read or listened to at least one book in the previous 12 months. The share of men who had read a book in that time frame was slightly lower at ** percent, but marked an increase from the ** percent recorded two years earlier. Book readers in the U.S. Whilst digital formats have overtaken print in terms of popularity and consumption, many U.S. media consumers still enjoy a good book – though women tend to read more books than men. A 2018 survey showed that 11 percent of U.S. women read ** or more books that year, compared to **** percent of male respondents. Women were also more likely to prefer reading books in paperback format, and much less likely to be fans of comic books. Regardless of adults’ preferences, something which many U.S. readers agree on is the importance of reading to children. According to a report on family reading habits, 58 percent of parents with a child aged between three and five years old said that they read aloud to their child **** to ***** times per week. The frequency of read-aloud time diminished as children grew older, usually because the child could then read independently, though some children eventually swap reading for other activities such as playing video games, watching television, or using social media.

This study was conducted under the auspices of the Center for Studies in Demography and Ecology at the University of Washington. It is a nationally representative sample of the population of the United States in 1900, drawn from the manuscript returns of individuals enumerated in the 1900 United States Census. Household variables include region, state and county of household, size of household, and type and ownership of dwelling. Individual variables for each household member include relationship to head of household, race, sex, age, marital status, number of children, and birthplace. Immigration variables include parents' birthplace, year of immigration and number of years in the United States. Occupation variables include occupation, coded by both the 1900 and 1950 systems, and number of months unemployed. Education variables include number of months in school, whether respondents could read or write a language, and whether they spoke English. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07825.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team is led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. The Level 1 data supplements the public-use data (see National Survey of Early Care and Education (NSECE) Public-Use Files, [United States], 2019 (ICPSR 37941)), with minimal overlap of variables across the data files. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For quick links to the PDF manuals (for the Quick Tabulation Files) and user's guides (for the Public-Use Files), please visit the Data Training Resources from the NSECE page. In addition, users can select "Documentation Only" from the Download tab on this study homepage to download all NSECE documentation in one zip file. Researchers interested in applying for the Restricted-Use Data Files are encouraged to read the user's guides before completing their application.

This survey, based on the General Social Survey in the United States, was designed to solicit political, sociological, and economic information from people living in Japan. Questions on crime and the judicial system queried respondents about the death penalty and the appropriateness of punishments given to juvenile and adult offenders, whether respondents had ever been punched or beaten, whether respondents had been victims of robberies within the last year, and whether there was an area, within one kilometer of their homes, where respondents were afraid to venture. Questions on family issues covered topics such as when divorce was the best course of action for those involved, the frequency that families dined together and performed household chores, the health of respondents' marriages, the roles of spouses within marriage, whether one or both spouses should change their surnames, the ideal number of children a couple should have, whether there was a sex preference for children, whether the respondents had pets and the benefits of pet ownership, where respondents would like to be buried, and whether in some cases, physical punishment of children by parents or teachers was acceptable. Questions on finances included items on the state of respondents' finances during the last few years, how their family's income compared to other Japanese families, how their family's income compared to that of Japanese families 15 years ago, whether the income tax rate was high, the amount of pension respondents would receive upon retirement, how respondents' families organized their finances, and the ease of improving one's standard of living in Japan. Political questions addressed whether the government should be responsible for the livelihood and medical care of the elderly, whether the government was usurping individual responsibilities, whether respondents would vote for a woman gubernatorial candidate, government spending, respondents' commitment and sense of belonging to the political process, and whether one of the government's duties was to reduce family income disparities. Also, respondents were asked to rate their political views on a scale from Conservative (1) to Progressive (5). In terms of health, information was solicited on the health of respondents and their spouses, whether a doctor should be able to painlessly end a patient's life if the patient's condition was terminal, whether respondents had signed organ donation cards, and the frequency of smoking, alcohol consumption, and sexual relations in the last 12 months. Quality of life questions addressed the frequency with which respondents read the newspaper, the average number of books respondents read per month, the average number of hours respondents watched television, whether respondents attended any job- or hobby-related classes, the amount of satisfaction respondents received from life, the frequency respondents went on trips lasting at least two days, and how often respondents participated in leisure activities like fishing, jogging, mahjong, etc. Respondents were asked to give their opinions concerning a married person having sexual relations with someone other than their spouse, sexual relations between two adults of the same sex, whether pornography leads to the breaking down of morals, whether the client, the teen, both, or neither party was responsible for teen prostitution, and whether pornography should be banned completely, not available to anyone under 18, or not be regulated at all. Information gathered on religion included whether respondents believed in life after death and whether they and/or their spouses followed a religion and the extent of their participation. Respondents were polled for information regarding their social status, whether it was desirable for three generations of family to share a home, whether men should learn to cook and care for themselves, the trustworthiness of most people, the general motivations of others, whether respondents were members of any groups like religious, trade, or social service organizations, and to what degree respondents utilized technology like computers, e-mail, and the Internet to perform daily life tasks. Demographic information includes age, sex, employment status, marital status, household income, and religious orientation.

Variable Name Decsription Label Values Res_Age Respondent's current age
State State 1 : Jammu & Kashmir; 2 : Himachal Pradesh; 3 : Punjab; 4 : Chandigarh; 5 : Uttarakhand; 6 : Haryana; 7 : Nct Of Delhi; 8 : Rajasthan; 9 : Uttar Pradesh; 10 : Bihar; 11 : Sikkim; 12 : Arunachal Pradesh; 13 : Nagaland; 14 : Manipur; 15 : Mizoram; 16 : Tripura; 17 : Meghalaya; 18 : Assam; 19 : West Bengal; 20 : Jharkhand; 21 : Odisha; 22 : Chhattisgarh; 23 : Madhya Pradesh; 24 : Gujarat; 25 : Dadra & Nagar Haveli And Daman & Diu; 27 : Maharashtra; 28 : Andhra Pradesh; 29 : Karnataka; 30 : Goa; 31 : Lakshadweep; 32 : Kerala; 33 : Tamil Nadu; 34 : Puducherry; 35 : Andaman & Nicobar Islands; 36 : Telangana; 37 : Ladakh; ResidenceType Type of place of residence 1 : Urban; 2: Rural Edu_level Highest educational level 0: No education; 1: Primary; 2: Secondary; 3: Higher; Water_Source Type of Water Source Tubewell ,Piped, Other, Natural Source, Bottled water
Water_Source_Time Time to get to water source 996: On premises; 997: Not a dejure resident; 998: Don't know Toilet_Facility Type of toilet facility House_electricity Household has: electricity
House_radio Household has: radio
House_tv Household has: television
House_refrige Household has: refrigerator House_bicycle Household has: bicycle
House_motorcycle Household has: motorcycle/scooter
House_car Household has: car/truck
Religion Religion
Ethnicity Ethnicity
Edu_years Education in single years
Household_members Number of household members (listed)
Child_under5 Number of children 5 and under in household (de jure)
Edu_attainment Educational attainment
House_telephone Household has: telephone (land-line)
Literacy Literacy ("Able to read whole sentence", "Able to read only parts of sentence","No card with required language", "Cannot read at all", "Blind/visually impaired"),(5,4,3,2,1) Cook_fuel Type of cooking fuel
Wealth_Idx_Lb Wealth index combined
Wealth_Idx Wealth index factor score combined (5 decimals) Tot_child_born Total children ever born
Sons_died Sons who have died
Daughters_died Daughters who have died Last5yrs_births Births in last five years 0: No births Birth_pastYear Births in past year 0: No births Res_Age_1stBirth Age of respondent at 1st birth
Curr_Preg Currently pregnant
Children_living Number of living children
Marriage_birth_intrvl Marriage to first birth interval (months) Negative for none BirthHistory Entries in birth history 0: No birth past year LastChild_Want Wanted last child
LastBirth_CSectn Last birth a caesarean section
Curr_BrstFeed Currently breastfeeding GaveChild_water Gave child plain water
GaveChild_juice Gave child juice
GaveChild_pwdrMilk Gave child tinned, powdered or fresh milk
GaveChild_BabyFormu Gave child baby formula GaveChild_BabyFood Gave child fortified baby food (cerelac, etc)
GaveChild_soup Gave child soup/clear broth GaveChild_OtrLiqd Gave child other liquid GaveChild_bird Gave child any chicken, duck or other birds GaveChild_breads Gave child bread, noodles, other made from grains
GaveChild_potato Gave child potatoes, cassava, or other tubers
GaveChild_egg Gave child eggs GaveChild_pumpkin Gave child pumpkin, carrots, squash (yellow or orange inside)
GaveChild_leafyVeg Gave child any dark green leafy vegetables
GaveChild_FruitsVitA Gave child mangoes, papayas, other vitamin A fruits GaveChild_OtrFruit Gave child any other fruits GaveChild_foodOrg Gave child liver, heart, other organs
GaveChild_fish Gave child fish or shellfish
GaveChild_beans Gave child food made from beans, peas, lentils, nuts
GaveChild_milkProd Gave child cheese, yogurt, other milk products
GaveChild_semiSolidFood Gave child other solid-semisolid food
GaveChild_OtrMeat Gave child other meat
GaveChild_yogurt Gave child yogurt
ChildFood_bottle Drank from bottle with nipple yesterday/last night
PostNatal_entries Entries in pregnancy and postnatal care roster
Immuniztn_entries Entries in immunization roster
ChildHealth_entries Entries in child health roster
ChildHeightWeight_entries Entries in height/weight roster Child_putToBrst When child put to breast 1: Within 1 hr, 2: 2-6hrs, 4 hr: next day Resp_weight Respondent's weight in kilograms (1 decimal)
Resp_height Respondent's height in centimeters (1 decimal)
BMI Body Mass Index RohrerIndx Rohrer's index
Flag_HWMeasure Result of measurement - height/weight
Hg_level Hemoglobin level (g/dl - 1 decimal) Curr_Preg_Flag Currently pregnant (from household questionnaire)
Hg_levelAdjusted Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal)
Anemia_level Anemia level
Smokes_cigarettes Smokes cigarettes
Smokes_tobacco Smokes pipe full of tobacco Chews_tobacco Chews tobacco
Snuffs_nose Snuffs by nose
Smoke_cigar Smokes cigars, cheroots or cigarillos
Smoke_hookah Smokes water pipe/hookah
Use_Gutkha Smokes/uses Gutkha / paan...

This map shows median age in the US by country, state, county, tract, and congressional district for 2023. ArcGIS Online account required for use.The pop-up is configured to show median age, median age by sex, child age (under 18) population, senior age (over 65) population, the age dependency ratio, and population by 5 year age increments. Blending is used at the Tract level to highlight areas of human settlement. Congressional district is turned off by default and can be enabled in the Layers pane.Esri 2023 Age Dependency Ratio is the estimated ratio of the child population (Age 0-17) and senior population (Age 65+) to the working-age population (Age 18-64) in the geographic area. This ratio is then multiplied by 100. Higher ratios denote that a greater burden is carried by working-age people. Lower ratios mean more people are working who can support the dependent population. Read more. See Updated Demographics for more information on Esri Demographic variables.Esri Updated Demographics represent the suite of annually updated U.S. demographic data that provides current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics, a subset of which is included in this layer. Included are a host of tables covering key characteristics of the population, households, housing, age, race, income, and much more. Esri's Updated Demographics data consists of point estimates, representing July 1 of the current and forecast years.Get started with U.S. Updated DemographicsHow to use and interpret U.S. Updated DemographicsEsri Updated Demographics DocumentationMethodologyEssential Esri Demographics vocabularyThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. This layer requires an ArcGIS Online subscription and does not consume credits. Please cite Esri when using this data. For information about purchasing additional Esri's Updated Demographics data, contact datasales@esri.com. Feedback: we would like to hear from you while this layer is in beta release. If you have any feedback regarding this item or Esri Demographics, please use this survey. Fields available:GEOIDNameState NameState Abbreviation2023 Total Population (Esri)2023 Household Population (Esri)2023 Group Quarters Population (Esri)2023 Population Density (Pop per Square Mile) (Esri)2023 Total Households (Esri)2023 Average Household Size (Esri)2023 Total Housing Units (Esri)2023 Owner Occupied Housing Units (Esri)2023 Renter Occupied Housing Units (Esri)2023 Vacant Housing Units (Esri)2020-2023 Population: Compound Annual Growth Rate (Esri)2020-2023 Households: Compound Annual Growth Rate (Esri)2023 Housing Affordability Index (Esri)2023 Percent of Income for Mortgage (Esri)2023 Wealth Index (Esri)2023 Socioeconomic Status Index (Esri)2023 Generation Alpha Population (Born 2017 or Later) (Esri)2023 Generation Z Population (Born 1999 to 2016) (Esri)2023 Millennial Population (Born 1981 to 1998) (Esri)2023 Generation X Population (Born 1965 to 1980) (Esri)2023 Baby Boomer Population (Born 1946 to 1964) (Esri)2023 Silent & Greatest Generations Population (Born 1945/Earlier) (Esri)2023 Population by Generation Base (Esri)2023 Child Population (Age <18) (Esri)2023 Working-Age Population (Age 18-64) (Esri)2023 Senior Population (Age 65+) (Esri)2023 Child Dependency Ratio (Esri)2023 Age Dependency Ratio (Esri)2023 Senior Dependency Ratio (Esri)2023 Total Population Age 0-4 (Esri)2023 Total Population Age 5-9 (Esri)2023 Total Population Age 10-14 (Esri)2023 Total Population Age 15-19 (Esri)2023 Total Population Age 20-24 (Esri)2023 Total Population Age 25-29 (Esri)2023 Total Population Age 30-34 (Esri)2023 Total Population Age 35-39 (Esri)2023 Total Population Age 40-44 (Esri)2023 Total Population Age 45-49 (Esri)2023 Total Population Age 50-54 (Esri)2023 Total Population Age 55-59 (Esri)2023 Total Population Age 60-64 (Esri)2023 Total Population Age 65-69 (Esri)2023 Total Population Age 70-74 (Esri)2023 Total Population Age 75-79 (Esri)2023 Total Population Age 80-84 (Esri)2023 Total Population Age 85+ (Esri)2023 Median Age (Esri)2023 Male Population (Esri)2023 Median Male Age (Esri)2023 Female Population (Esri)2023 Median Female Age (Esri)2023 Total Population by Five-Year Age Base (Esri)2023 Total Daytime Population (Esri)2023 Daytime Population: Workers (Esri)2023 Daytime Population: Residents (Esri)2023 Daytime Population Density (Pop per Square Mile) (Esri)2023 Civilian Population Age 16+ in Labor Force (Esri)2023 Employed Civilian Population Age 16+ (Esri)2023 Unemployed Population Age 16+ (Esri)2023 Unemployment Rate (Esri)2023 Civilian Population 16-24 in Labor Force (Esri)2023 Employed Civilian Population Age 16-24 (Esri)2023 Unemployed Population Age 16-24 (Esri)2023 Unemployment Rate: Population Age 16-24 (Esri)2023 Civilian Population 25-54 in Labor Force (Esri)2023 Employed Civilian Population Age 25-54 (Esri)2023 Unemployed Population Age 25-54 (Esri)2023 Unemployment Rate: Population Age 25-54 (Esri)2023 Civilian Population 55-64 in Labor Force (Esri)2023 Employed Civilian Population Age 55-64 (Esri)2023 Unemployed Population Age 55-64 (Esri)2023 Unemployment Rate: Population Age 55-64 (Esri)2023 Civilian Population 65+ in Labor Force (Esri)2023 Employed Civilian Population Age 65+ (Esri)2023 Unemployed Population Age 65+ (Esri)2023 Unemployment Rate: Population Age 65+ (Esri)2023 Child Economic Dependency Ratio (Esri)2023 Working-Age Economic Dependency Ratio (Esri)2023 Senior Economic Dependency Ratio (Esri)2023 Economic Dependency Ratio (Esri)2023 Hispanic Population (Esri)2023 White Non-Hispanic Population (Esri)2023 Black/African American Non-Hispanic Population (Esri)2023 American Indian/Alaska Native Non-Hispanic Population (Esri)2023 Asian Non-Hispanic Population (Esri)2023 Pacific Islander Non-Hispanic Population (Esri)2023 Other Race Non-Hispanic Population (Esri)2023 Multiple Races Non-Hispanic Population (Esri)2023 Diversity Index (Esri)2023 Population by Race Base (Esri)2023 Population Age 25+: Less than 9th Grade (Esri)2023 Population Age 25+: 9-12th Grade/No Diploma (Esri)2023 Population Age 25+: High School Diploma (Esri)2023 Population Age 25+: GED/Alternative Credential (Esri)2023 Population Age 25+: Some College/No Degree (Esri)2023 Population Age 25+: Associate's Degree (Esri)2023 Population Age 25+: Bachelor's Degree (Esri)2023 Population Age 25+: Graduate/Professional Degree (Esri)2023 Educational Attainment Base (Pop 25+)(Esri)2023 Household Income less than $15,000 (Esri)2023 Household Income $15,000-$24,999 (Esri)2023 Household Income $25,000-$34,999 (Esri)2023 Household Income $35,000-$49,999 (Esri)2023 Household Income $50,000-$74,999 (Esri)2023 Household Income $75,000-$99,999 (Esri)2023 Household Income $100,000-$149,999 (Esri)2023 Household Income $150,000-$199,999 (Esri)2023 Household Income $200,000 or greater (Esri)2023 Median Household Income (Esri)2023 Average Household Income (Esri)2023 Per Capita Income (Esri)2023 Households by Income Base (Esri)2023 Gini Index (Esri)2023 P90-P10 Ratio of Income Inequality (Esri)2023 P90-P50 Ratio of Income Inequality (Esri)2023 P50-P10 Ratio of Income Inequality (Esri)2023 80-20 Share Ratio of Income Inequality (Esri)2023 90-40 Share Ratio of Income Inequality (Esri)2023 Households in Low Income Tier (Esri)2023 Households in Middle Income Tier (Esri)2023 Households in Upper Income Tier (Esri)2023 Disposable Income less than $15,000 (Esri)2023 Disposable Income $15,000-$24,999 (Esri)2023 Disposable Income $25,000-$34,999 (Esri)2023 Disposable Income $35,000-$49,999 (Esri)2023 Disposable Income $50,000-$74,999 (Esri)2023 Disposable Income $75,000-$99,999 (Esri)2023 Disposable Income $100,000-$149,999 (Esri)2023 Disposable Income $150,000-$199,999 (Esri)2023 Disposable Income $200,000 or greater (Esri)2023 Median Disposable Income (Esri)2023 Home Value less than $50,000 (Esri)2023 Home Value $50,000-$99,999 (Esri)2023 Home Value $100,000-$149,999 (Esri)2023 Home Value $150,000-$199,999 (Esri)2023 Home Value $200,000-$249,999 (Esri)2023 Home Value $250,000-$299,999 (Esri)2023 Home Value $300,000-$399,999 (Esri)2023 Home Value $400,000-$499,999 (Esri)2023 Home Value $500,000-$749,999 (Esri)2023 Home Value $750,000-$999,999 (Esri)2023 Home Value $1,000,000-$1,499,999 (Esri)2023 Home Value $1,500,000-$1,999,999 (Esri)2023 Home Value $2,000,000 or greater (Esri)2023 Median Home Value (Esri)2023 Average Home Value (Esri)2028 Total Population (Esri)2028 Household Population (Esri)2028 Population Density (Pop per Square Mile) (Esri)2028 Total Households (Esri)2028 Average Household Size (Esri)2023-2028 Population: Compound Annual Growth Rate (Esri)2023-2028 Households: Compound Annual Growth Rate (Esri)2023-2028 Per Capita Income: Compound Annual Growth Rate (Esri)2023-2028 Median Household Income: Compound Annual Growth Rate (Esri)2028 Diversity Index (Esri)2028 Median Household Income (Esri)2028 Average Household Income (Esri)2028 Per Capita Income (Esri)

This layer is symbolized to show the approximate percentage of households that are multigenerational households. Multigenerational households are households with three or more generations. These households include either (1) a householder, a parent or parent-in-law of the householder, and an own child of the householder, (2) a householder, an own child of the householder, and a grandchild of the householder, or (3) a householder, a parent or parent-in-law of the householder, an own child of the householder, and a grandchild of the householder. The householder is a person in whose name the home is owned, being bought, or rented, and who answers the survey questionnaire as person 1.Other fields included are estimates of mothers - females 18 to 64 with own children (biological, adopted, or step children) - by various race/ethnic groups, and by age group of children. Age groups were defined by the COVID vaccine age groups: 12 to 17, 5 to 11, and 0 to 4. We also included estimates for mothers of children in more than one of these groups.Data prep steps:Data downloaded on 4/5/22 from FTP site.All fields were calculated from the Census Bureau's 2016-2020 5-year American Community Survey Public Use Microdata Sample (PUMS) using this SAS program.Using the SAS-ArcGIS Bridge, the data table created in SAS was read into ArcGIS Pro and joined to this layer is PUMA, obtained from Living Atlas. According to the U.S. Census Bureau, a Public Use Micro-sample Area (PUMA) is a "non-overlapping, statistical geographic areas that partition each state or equivalent entity into geographic areas containing no fewer than 100,000 people each." The resulting layer in Pro was then published to ArcGIS Online.Disclaimer: All estimates here contain a margin of error. While they are not explicitly calculated and provided on this layer currently, we can and will add additional fields to provide the margins of error if the need arises.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

Office for National Statistics' national and subnational Census 2021. Occupancy rating for roomsThis dataset provides Census 2021 estimates that classify households in England and Wales by occupancy rating based on the number of rooms in the household. The estimates are as at Census Day, 21 March 2021. Occupancy rating for rooms definition: Whether a household's accommodation is overcrowded, ideally occupied or under-occupied. This is calculated by comparing the number of rooms the household requires to the number of available rooms.The number of rooms the household requires uses a formula which states that:one-person households require three rooms comprised of two common rooms and one bedroomtwo-or-more person households require a minimum of two common rooms and a bedroom for each person inline with the Bedroom StandardPeople who should have their own room according to the Bedroom Standard are:married or cohabiting couplesingle parentperson aged 16 years and overpair of same-sex persons aged 10 to 15 yearsperson aged 10 to 15 years paired with a person under 10 years of the same sexpair of children aged under 10 years, regardless of their sexperson aged under 16 years who cannot share a bedroom with someone in 4, 5 or 6 aboveAn occupancy rating of: -1 or less: implies that a household's accommodation has fewer rooms than required (overcrowded)+1 or more: implies that a household's accommodation has more rooms than required (under-occupied)0: suggests that a household's accommodation has an ideal number of roomsThe number of rooms is taken from Valuation Office Agency (VOA) administrative data for the first time in 2021. The number of rooms is recorded at the address level, whilst the 2011 Census recorded the number of rooms at the household level.This means that for households that live in a shared dwelling, the available number of rooms are counted for the whole dwelling in VOA, and not each individual household.VOA's definition of a room does not include bathrooms, toilets, halls or landings, kitchens, conservatories or utility rooms. All other rooms, for example, living rooms, studies, bedrooms, separate dining rooms and rooms that can only be used for storage are included. Please note that the 2011 Census question included kitchens, conservatories and utility rooms while excluding rooms that can only be used for storage. To adjust for the definitional difference, the number of rooms required is deducted from the actual number of rooms it has available, and then 1 is added.Quality information: It is inappropriate to measure change in number of rooms from 2011 to 2021, as Census 2021 used Valuation Office Agency data for this variable. Instead use Census 2021 estimates for number of bedrooms for comparisons over time.Comparability with 2011: Not comparable. This variable cannot be compared with the variable used in the 2011 Census. This is because in Census 2021 the data are collected using administrative data instead of data from Census 2021. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

Abstract (en): This data collection is comprised of responses from the March and April installments of the 1986 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. In addition to the basic CPS questions, respondents were asked supplemental questions in March about income. About 42,200 of the housing units interviewed in March were interviewed again in April. In these housing units all women 18 years of age and older who had children were asked the April CPS supplemental questions. These questions concerned child support and alimony payments. Of the 43,091 women found eligible in March, 37,671 of them matched women interviewed in April. For the remaining 5,420 women interviewed in March, the child support and alimony information was imputed. Information regarding child support and alimony was collected to determine the size and distribution of the female population with children affected by divorce or separation. Moreover, the data were collected to better understand the characteristics of persons requiring child support and alimony, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement. This collection also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance, employer-provided pension plan, personal health insurance, Medicaid, Medicare, the Civilian Health and Medical Program of the Uniformed Services (CHAMPUS), and energy assistance. Demographic variables include age, sex, race, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered. For all CPS data files, a single weight was prepared and used to compute the monthly labor force status estimates. An additional weight was prepared to roughly correspond to wage and salary workers. The difference in content of the March CPS supplement required the presentation of a household weight, a family weight, and a March supplement weight. Users are strongly encouraged to refer to the user guide for additional information concerning the weights used in this collection. The civilian noninstitutional population of the United States living in housing units, as well as members of the Armed Forces living in civilian housing units on a military base or in a household not on a military base. A multistage probability sample was used for the housing unit. telephone interview(1) These data are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed the data. Users should contact the principal investigators if further information is desired. (2) In this hierarchical dataset, there are three record types: Household, with approximately 65 variables, Family, with approximately 80 variables, and Person, with approximately 230 variables. (3) The technical documentation inaccurately states that there are 203,135 records. There are 200,029 records in the data file. (4) The file is sorted by Census state code, then by SMSA rank code. (5) Users are strongly encouraged to read the User Guide, which contains the questionnaires for the supplements and additional technical documentation.

Office for National Statistics' national and subnational Census 2021. Occupancy rating for roomsThis dataset provides Census 2021 estimates that classify households in England and Wales by occupancy rating based on the number of rooms in the household. The estimates are as at Census Day, 21 March 2021. Occupancy rating for rooms definition: Whether a household's accommodation is overcrowded, ideally occupied or under-occupied. This is calculated by comparing the number of rooms the household requires to the number of available rooms.The number of rooms the household requires uses a formula which states that:one-person households require three rooms comprised of two common rooms and one bedroomtwo-or-more person households require a minimum of two common rooms and a bedroom for each person inline with the Bedroom StandardPeople who should have their own room according to the Bedroom Standard are:married or cohabiting couplesingle parentperson aged 16 years and overpair of same-sex persons aged 10 to 15 yearsperson aged 10 to 15 years paired with a person under 10 years of the same sexpair of children aged under 10 years, regardless of their sexperson aged under 16 years who cannot share a bedroom with someone in 4, 5 or 6 aboveAn occupancy rating of: -1 or less: implies that a household's accommodation has fewer rooms than required (overcrowded)+1 or more: implies that a household's accommodation has more rooms than required (under-occupied)0: suggests that a household's accommodation has an ideal number of roomsThe number of rooms is taken from Valuation Office Agency (VOA) administrative data for the first time in 2021. The number of rooms is recorded at the address level, whilst the 2011 Census recorded the number of rooms at the household level.This means that for households that live in a shared dwelling, the available number of rooms are counted for the whole dwelling in VOA, and not each individual household.VOA's definition of a room does not include bathrooms, toilets, halls or landings, kitchens, conservatories or utility rooms. All other rooms, for example, living rooms, studies, bedrooms, separate dining rooms and rooms that can only be used for storage are included. Please note that the 2011 Census question included kitchens, conservatories and utility rooms while excluding rooms that can only be used for storage. To adjust for the definitional difference, the number of rooms required is deducted from the actual number of rooms it has available, and then 1 is added.Quality information: It is inappropriate to measure change in number of rooms from 2011 to 2021, as Census 2021 used Valuation Office Agency data for this variable. Instead use Census 2021 estimates for number of bedrooms for comparisons over time.Comparability with 2011: Not comparable. This variable cannot be compared with the variable used in the 2011 Census. This is because in Census 2021 the data are collected using administrative data instead of data from Census 2021. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

The Newpin Social Benefit Bond is providing funding to UnitingCare Burnside to deliver its Newpin program which supports children in out-of-home care to be restored to their families, or prevents at-risk children from entering care. Newpin is a long-term, centre-based, intensive support program that works with families to improve parenting so children can live safely at home. Parents and their pre-school children attend a centre between two to four times a week for approximately 18 months. The program includes a combination of therapy, parenting courses and parent/child relationship building.\r \r The $7 million bond began operating in July 2013 and will run for seven years. The bond is funding four existing Newpin centres in Western Sydney and will pay for the expansion of the program to additional locations around the state. \r \r Newpin has a solid evidence base and a track record of delivering successful family restorations. The restoration rate of children who enter the program is the key performance indicator which produces the interest rate and the repayment obligations of the bond. All family restorations are independently decided by the NSW Children’s Court. Neither UnitingCare Burnside nor investors make these decisions. \r \r To participate in the program, families must have at least one child younger than six years old who has been in statutory care for at least three months, or who is at risk of entering care. Families can be referred by OOHC agencies, other government agencies, community organisations or they can self-refer but the referral must be approved by Family and Community Services. \r \r Read more about Newpin.\r \r For referral enquiries contact:\r \r Adele Brookes\r Social Benefit Bond Contract Manager, Family and Community Services \r OOHCSocialBenefitBondsPilot@facs.nsw.gov.au\r \r

NFHS-5 (2019-21)

The National Family & Health Survey (NFHS) is a survey in India that attempts to collect information on health conditions, nutrition, family planning, domestic violence, and a host of other factors through conducting surveys on a random ("representative") sample of Indian households in all states. The fifth NFHS was conducted through 2019-21, and the reports were released to the public in 2021 and can be found at this link. The original data was released as PDFs; this Kaggle dataset was created by extracting the tabular data from PDFs into JSONs.

What kind of information is collected in this survey?

Here's a non-comprehensive list of some indicators collected by this survey:

1. Female population age 6 years and above who ever attended school (%)
2. Women age 20-24 years married before age 18 years (%)
3. Institutional births in public facility (%)
4. Children with diarrhoea in the 2 weeks preceding the survey who received oral rehydration salts (ORS) (%)
5. Blood sugar level - high or very high (>140 mg/dl) or taking medicine to control blood sugar level (%)
6. Women age 15 years and above who use any kind of tobacco (%)

Major news outlets in India analysed the results of the study too - here are some interesting articles that show what sorts of "stories" or insights you van look for in this data:

• 50% women, kids in 14 states and UTs are anaemic: National Family Health Survey
• Latest Family Health Survey Proves Prohibition Has Not Worked In Bihar, Alcohol Consumption Is Rife
• Sex Ratio In India Was Estimated As 1,020 By National Family Health Survey During 2019 to 2021, Says MoS Health Dr Bharati Pravin Pawar
• A close reading of the NFHS-5, the health of India
• What the latest NFHS data says about the New Welfarism
• More hospital births, but limited gains in childhood nutrition: National Family Health Survey-5

Note: I used a Python script to parse the data automatically. I tried my best to make sure the data was parsed correctly, but there is a possibility that some data in JSON might not be 100% accurate - there is no way I could have manually verified all 704 PDF files and their outputs, so I randomly sampled and verified a couple of files, all of which looked okay. If you want to see the scripts used to parse this PDFs, please visit my GitHub repo.

Dataset cover photo by Naveed Ahmed on Unsplash.com

Importance of social-political objectives, need for information and media behavior of the population.

Topics: Sense of well-being in the Federal Republic; preferred state to live in; interest in foreign countries as well as states and cities in the Federal Republic; personal opinion leadership; representation of interests by parties and politicians (scale); attitude to politicians and assessment of their credibility; importance of social-political objectives and assignment of responsibility for these tasks; personal willingness to make financial sacrifices for realization of selected political tasks; assessment of personal current and future economic situation; personal need for information in selected social-political areas; preferred media for such information dissemination; attitude to privatization of Federal Railway, Post Office, local transport services as well as radio and television companies; membership and activities in organizations and clubs; attitude to nuclear power plants; religious ties; behavior at the polls in the last Federal Parliament election and party preference (Sunday question); party inclination; party one can still vote for; possession of durable economic goods; structure of financial circumstances; completed insurance policies; unemployment and interest in immediately starting work; residential status; detailed information about type and extent of newspapers and magazines read as well as television and radio habits (media usage);

Demography: age; sex; marital status; number of children; ages of children (classified); school education; vocational training; occupation; occupational position; employment; income; household income; size of household; composition of household; respondent is head of household; characteristics of head of household; residential status; unemployment and interest in immediate resumption of work; number of persons in household with their own income; city size.

Interviewer rating: weekday and date of interview; weekday within the last three days on which one was at home at least one hour between 6 PM and 8 PM.

This map shows median age in the US by country, state, county, tract, and congressional district for 2023. ArcGIS Online account required for use.The pop-up is configured to show median age, median age by sex, child age (under 18) population, senior age (over 65) population, the age dependency ratio, and population by 5 year age increments. Blending is used at the Tract level to highlight areas of human settlement. Congressional district is turned off by default and can be enabled in the Layers pane.Esri 2023 Age Dependency Ratio is the estimated ratio of the child population (Age 0-17) and senior population (Age 65+) to the working-age population (Age 18-64) in the geographic area. This ratio is then multiplied by 100. Higher ratios denote that a greater burden is carried by working-age people. Lower ratios mean more people are working who can support the dependent population. Read more. See Updated Demographics for more information on Esri Demographic variables.Esri Updated Demographics represent the suite of annually updated U.S. demographic data that provides current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics, a subset of which is included in this layer. Included are a host of tables covering key characteristics of the population, households, housing, age, race, income, and much more. Esri's Updated Demographics data consists of point estimates, representing July 1 of the current and forecast years.Esri Updated Demographics DocumentationMethodologyUnderstanding Esri’s Updated Demographics portfolioEssential Esri Demographics vocabularyThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. This layer requires an ArcGIS Online subscription and does not consume credits. Please cite Esri when using this data. For information about purchasing additional Esri's Updated Demographics data, contact datasales@esri.com. Feedback: we would like to hear from you while this layer is in beta release. If you have any feedback regarding this item or Esri Demographics, please use this survey.

Abstract

The objectives of the 2001 Population Census were:

a. to develop a set of benchmark data for different purposes, b. to provide data for small administrative areas of the country on population, housing and household facilities, c. to provide reliable frames for different types of sample surveys, d. to provide sex disaggregated data of the population and other variables related to households, demographic, social and economic conditions of the country, and e. to provide detailed information on women, children, the aged and the disabled.

Geographic coverage

National coverage

Analysis unit

Individual and household

Universe

The survey covered all household members (usual residents) in the household.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 2001 census collected data based on short form for the complete enumeration of the benchmark information and the long form for the sample enumeration of other socio-economic and demographic information. The long form was administered for population dwellings in about 20 percent of the total housing units. Based on these, estimates were generated at the district level with reliable degree of precision.

The sampling scheme of the 2001 Population Census for the long form is summarized below.

1. The sampling covered the private households only. For the institutional population, Schedule-1 only was administered.

2. For the sampling, 75 administrative districts formed the main strata and VDC's and municipalities within the district formed the domains.

3. There were around 36,000 wards in the country at the time of the census. For the purpose of the census enumeration some of the large wards were further divided into sub-wards. These wards and sub-wards formed the EA's for sampling. The total number of EAs thus formed were around 40,000.

4. Sampling was carried out in each EA; housing unit being the sampling unit.

5. The list of housing units and households served as the sampling frame for the EA. The housing units were selected by systematic sampling method. The sampling interval taken was 8.

6. The list of selected housing units was made available to the enumerator for the enumeration. All households and persons found in the selected units were enumerated.

7. The ratio method was used in making estimates for the sample.

8. Tabulation groups were created separately for tabulation of persons and those for households. The main control variables for the majority of tabulations for persons were two variables: age sex. Tabulation groups for household tabulations were formed in a different manner: taking households as a tabulation group in the domain.

9. To implement the ratio estimation, first weights were calculated. The weights for sample data were computed by dividing the 100 percent counts for the same tabulation groups in the domain by sample counts for the same tabulation groups in the domain. To avoid inconsistency due to rounding, the figures were converted to whole numbers.

This detailed sampling procedure is provided in the document 'Sample Design for the 2001 Census of Housing and Population, Nepal'.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of schedules were prepared. Form 1 for complete enumeration and Form 2 for sample enumeration. Both schedules contained questions on household as well as individuals.

Content of the Census Questionnaire:

Short Form : Schedule 1 / FORM 1: (COMPLETE Enumeration)

Household Information (Question relating to Household) 1. Type of housing unit occupied by the household
2. Tenure of housing unit
3. Whether any land operated for agriculture
4. Area of agricultural land operated
5. Whether any livestock/ poultry raised
6. Number of livestock/ poultry on the holding
7. Whether any female member owned any house/land - Area of land owned
8. Whether any female member owned any livestock
- Number of livestock (big and small head)

Individual Information (Question relating to Individuals) 1. Serial number of household member
2. Full name of the household member
3. Male/Female
4. Age
5. Caste/Ethnicity
6. Relationship of the household head 7. Religion 8. Language spoken
- Mother tongue
- Second language
9. Citizenship 10. Disability

Long Form : Schedule 2 / FORM 2: (SAMPLE Enumeration)

Household Information (Question relating to Household) 1. Main source of drinking water
2. Main fuel used for cooking
3. Main source of light 4. Toilet facility
5. Household conveniences
6. Whether any death in the household
7. Information on the deceased person(s)
- Sex, age, date, and cause

Individual Information (Question relating to Individuals) 1. Serial number of household member
2. Full name and sex of the household member
3. Age
4. Place of birth
5. Duration of stay at the present place
6. Reason for staying in this district
7. Residence five years ago 8. Whether able to read and write
9. Level of education
10. Whether currently attending any school
11. Marital status
12. Age at first marriage
13. No. of children ever born
14. Any live births during last 12 months
15. Work usually done during the last 12 months 16. No. of months worked during the last 12 months
17. Occupation (type of usual work) 18. Industry (place of usual work)
19. Employment Status
20. Reasons for usually not working
21. Living arrangements of children below 16 years

Cleaning operations

Data editing took place at a number of stages throughout the processing, including:

a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of SPSS data files

Response rate

At the time of census there were 3,914 VDC's and 58 municipalities. VDC's contained a total of 35,226 wards while urban areas contained 806 wards. Thus total numbers of wards in the country were 36,032. Out of these wards, 957 wards (including 2 urban wards) were affected due to the political disturbances in the country. Works in 83 VDC's of 12 districts were completely affected. 747 wards were completely affected. 2 wards of 2 municipalities and some wards of 37 VDC's were partially affected. In Salyan and Kalikot even listing was disturbed in some areas. In these districts population was estimated on the basis of listing sheet and following other estimation procedures.

For form 2, there is no available data for response rate.

Sampling error estimates

Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors.

The sampling error is not available.

Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the population census 2001 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

This method is discussed in detail in the document 'Sample Design for the 2001 Census of Housing and Population, Nepal'.

Data appraisal

The post enumeration survey was conducted to assess the completeness in the census enumeration and also the quality of the answers given to the questions asked in the population census. An independent verification of the census enumeration through a PES on a sample basis can provide an estimate of the extent of under enumeration or over enumeration that occurred at the census.

The PES 2001 was planned as an independent intensive re-interviews of all households in the sampled enumeration areas. The sample was restricted to a manageable size as mentioned elsewhere. A single stage stratified sampling design was adopted for the household enumeration sampling 7900 households and a two stage stratified design was used for the individual questionnaire. The Dual System Estimation metod was adopted for the survey design.

The detailed information can be found in PES Report under Census Report.

This dataset provides Census 2021 estimates that classify schoolchildren and full-time students aged 5 years and over in England and Wales by student accommodation and by age. The estimates are as at Census Day, 21 March 2021.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Student accommodation type

Combines the living situation of students and school children in full-time education, whether they are living:

• alone
• in a student household
• with parents
• in a communal establishment, split by university and other communal establishment type
• in other household types

It also includes whether these households contain one or multiple families.

This variable is comparable with the student accommodation variable but splits the communal establishment type into “university” and “other” categories.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.