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Curated

American Housing Survey 2007: Metropolitan Survey (ICPSR 24501)

Released/updated on: 2009-10-13
Geographic coverage: District of Columbia, United States, Minnesota, Florida, Miami, Baltimore, Minneapolis, Texas, Massachusetts, Tampa, Maryland, Boston, Houston
The metropolitan survey is conducted in even-numbered years, cycling through a set of 41 metropolitan areas, surveying each one about once every 6 years. This data collection provides information on the characteristics of a metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. The data are presented in seven separate parts: Part 1, Work Done Record (Replacement or Addition to the House), Part 2, Journey to Work Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, and Part 7, Mover Group Record. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy.
Curated

Chinese Household Income Project, 1988 (ICPSR 9836)

Released/updated on: 2010-07-06
Geographic coverage: China (Peoples Republic)

The purpose of this project was to measure and estimate the distribution of income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care.

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

Curated
Restricted

Head Start Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File, United States, 2014-2017 (ICPSR 38861)

Released/updated on: 2023-09-28
Geographic coverage: United States
Time period: 2014-01-01--2017-01-01

FACES provides national information about Head Start programs and participants. Beginning in 1997, a series of nationally representative samples of Head Start children and their families, classrooms, and programs has described the population served by Head Start; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and the experiences and well-being of children and families. FACES studies have included assessments that measure children's cognitive skills, social-emotional skills, and physical status; observations of classroom quality; and surveys of children's parents, teachers, center directors, and program directors.

The Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File contains 28 contextual, community-level variables about 399 Head Start centers included in the FACES 2014 study sample. It does not contain data collected as part of the FACES 2014 study; instead, it contains information from publicly available data sources and is designed to merge with other FACES 2014 data files to enhance the understanding of Head Start center communities. The contextual variables data describe characteristics of the census tract or block group in which Head Start centers are located.

The contextual variables include three index variables constructed by research institutions, 24 demographic and socioeconomic variables derived from the American Community Survey (ACS), and a measure of rural/urban status from the U.S. Department of Agriculture. The FACES 2014 Contextual Variables Data File is intended to be used with the other FACES 2014 data files. For example, in conjunction with the other FACES 2014 data, these data could be used to:

  • describe the characteristics of neighborhoods where children attend Head Start,
  • describe how children's experiences or Head Start quality differ by neighborhood characteristics, or
  • explore associations among neighborhoods, Head Start experiences, and child and family well-being.
Curated

Norwegian Ecological Data, 1868-1903 (ICPSR 41)

Released/updated on: 2006-01-12
Geographic coverage: Norway, Europe
Time period: 1868-01-01--1903-01-01
This data collection provides economic, social, political, and demographic information on 431 communes (or electoral parishes) of Norway in the period 1868-1903. There are four parts to this collection. Part 1 contains information from the censuses of 1875, 1891, and 1900 and the electoral censuses of 1868 and 1876 on occupation, income distribution, taxation, age, household, total population by sex, place of birth, and religious affiliation, and information about political participation, such as the number of eligible voters, registered votes, and votes cast in the Storting (unicameral parliament) elections of 1868, 1870, 1873, 1876, 1879, 1882, 1885, 1888, 1891, 1894, 1897, 1900 and 1903. Part 2 provides information from the educational censuses of 1875 and 1885 on school enrollment, the number of male and female teachers, and school expenditures. Part 3 provides information on births, miscarriages, deaths, the number of live births from unwed mothers, the number of married couples, and the number of persons emigrating overseas and to the United States in 1868, 1875, 1891 to 1895, 1896 to 1900, and 1901 to 1905. Part 4 provides information on inter-communal communication and transportation, such as railways and steamships.
Curated

Social, Demographic, and Educational Data for France, 1801-1897 (ICPSR 48)

Released/updated on: 1992-02-16
Geographic coverage: Europe, France
Time period: 1801-01-01--1897-01-01
This data collection consists of 161 selected social, demographic, and educational datasets for France in the period 1801-1897. The data were collected from published reports of three national statistical series: (1) National Censuses, (2) Vital Statistics, and (3) Primary Education. This project was supported by grants from the National Endowment for the Humanities and the National Science Foundation. The National Census data were derived from the quinquennial population censuses of France from 1801 to 1896 and were obtained from the Statistique Generale de la France. The data provide detailed social and economic information for the period 1851 to 1896. The data for 1801-1851 are less rich in subject matter coverage but do present some basic information on population characteristics. The National Census data in general describe the population, including the composition of the population by categories of age, sex, place of birth, marital status, religion, place of residence, and occupation. There is also some limited information on migration, transportation and communication, housing, and families. A large segment of the census data pertains to occupations of the population, specifying job classifications within professions, as well as information on non-employed household members that were dependent on employees in the various industries, in addition to enumerations of persons employed in various professions and trades. The Vital Statistics data files contain annual vital statistics for the French population. These data were obtained from two printed series, MOUVEMENT DE LA POPULATION (1801-1868), and STATISTIQUE ANNUELLE (1869-1897). The basic variables included in the vital statistics datasets record births, deaths, and marriages in France. Detailed cross-tabulations of these demographic indicators are presented for births, tabulated by sex, month, legitimacy status, and characteristics of the parents, and deaths, categorized by age and previous marital status of the partners. Additional cross-tabulations are provided for variables such as divorces, passports issued, medical personnel and hospitals, and a literacy indicator (signing of marriage certificates). The Primary Education data files provide information on primary schools and were obtained from the Statistique de l'enseignement Primaire. The data obtained from the series basically cover the period 1829-1897, although some recapitulative information for earlier years is also presented. The main focus of the data in this series is on primary schools, classes and buildings, enrollment, teachers, sources of funding and expenditure, and academic proficiency of the pupils. Additional information is included on literacy, teacher training (normal) schools, school age population, and libraries. A machine-readable French language codebook, describing the data items as well as the sources from which they were obtained, is provided with each dataset supplied. In addition, lists of the variables included in each dataset are included in Parts 162-164. See the related collection, DEMOGRAPHIC, SOCIAL, EDUCATIONAL AND ECONOMIC DATA FOR FRANCE, 1833-1925 (ICPSR 7529).
Curated
Simple Crosstabs

Twin Cities Metropolitan Area 1982 Travel Behavior Inventory (Home Interview Survey) (ICPSR 34738)

Released/updated on: 2013-08-07
Geographic coverage: Minneapolis, United States, St. Paul, Minnesota
Time period: 1982-09-01--1983-02-27
The Twin Cities Metropolitan Area 1982 Travel Behavior Inventory (Home Interview Survey) was intended to document how Twin Cities residents use the streets, highways, and transit services in the region. Respondents were asked to record their travel and activities for a 24-hour period. They were also asked for detailed information regarding their trips, including mode of transportation, trip purpose, departure and arrival times, and number of passengers. Demographic variables include gender, age, employment status, household size, number of children under five years old in the household, whether household members were students on their given travel day, household income, and whether respondents had a valid drivers license at the time of the survey.