Graph and download economic data for Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over (LEU0254477400A) from 2000 to 2024 about administrative, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over was 136.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over reached a record high of 144.00000 in January of 2022 and a record low of 40.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over (LEU0254530800A) from 2000 to 2024 about administrative, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men (LEU0254637600A) from 2000 to 2024 about administrative, second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Italy Wages & Salaries Index: PH: Public Administration data was reported at 123.400 Dec1995=100 in Dec 2002. This stayed constant from the previous number of 123.400 Dec1995=100 for Nov 2002. Italy Wages & Salaries Index: PH: Public Administration data is updated monthly, averaging 96.650 Dec1995=100 from Jan 1982 (Median) to Dec 2002, with 252 observations. The data reached an all-time high of 123.400 Dec1995=100 in Dec 2002 and a record low of 37.200 Dec1995=100 in Jan 1982. Italy Wages & Salaries Index: PH: Public Administration data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G027: Wages and Salaries Index: Per Hour: Dec1995=100.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men was 2496.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men reached a record high of 2496.00000 in January of 2024 and a record low of 1088.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Database administrators occupations: 16 years and over: Men - last updated from the United States Federal Reserve on November of 2025.

Georgia Monthly Average Gross Salary: Male: NACE 1.1: Public Administration data was reported at 1,299.090 GEL in Jun 2018. This records an increase from the previous number of 1,241.150 GEL for Mar 2018. Georgia Monthly Average Gross Salary: Male: NACE 1.1: Public Administration data is updated quarterly, averaging 1,026.976 GEL from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 1,355.724 GEL in Dec 2015 and a record low of 539.921 GEL in Mar 2007. Georgia Monthly Average Gross Salary: Male: NACE 1.1: Public Administration data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Stores payment status information.

This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee. Units of Response: United States and Territories, CCDF Family Recipients, CCDF Children Recipients Type of Data: Administrative Tribal Data: No Periodicity: Annual Demographic Indicators: Ethnicity;Household Income;Household Size;Race SORN: Not Applicable Data Use Agreement: Not Applicable Data Use Agreement Location: https://www.icpsr.umich.edu/rpxlogin Granularity: Family;Individual Spatial: United States Geocoding: Tribe

China Central Department Management SOE: Average Salary data was reported at 132,695.700 RMB/Person in 2020. This records an increase from the previous number of 128,510.200 RMB/Person for 2019. China Central Department Management SOE: Average Salary data is updated yearly, averaging 55,668.600 RMB/Person from Dec 2002 (Median) to 2020, with 19 observations. The data reached an all-time high of 132,695.700 RMB/Person in 2020 and a record low of 16,253.300 RMB/Person in 2002. China Central Department Management SOE: Average Salary data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OE: Non-financial Enterprise: State Owned and Holding: Central Management.

Switzerland Gross Median Annual Earnings: FT: Employees: Administrative Staff data was reported at 75,400.000 CHF in 2015. This records an increase from the previous number of 74,300.000 CHF for 2014. Switzerland Gross Median Annual Earnings: FT: Employees: Administrative Staff data is updated yearly, averaging 65,400.000 CHF from Dec 1991 (Median) to 2015, with 25 observations. The data reached an all-time high of 75,400.000 CHF in 2015 and a record low of 50,900.000 CHF in 1991. Switzerland Gross Median Annual Earnings: FT: Employees: Administrative Staff data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.G028: Gross Median Annual Earnings.

The Species and Stock Administrative data set within the Species Information System (SIS) defines entities within the database that serve as the basis for recording information in the other datasets (e.g. Fish Assessment, Status Determination, and Annual Catch Limits). The data set includes information such as species and stock names, distribution and stock areas, as well as administrative information defining relationships amongst entities within the database.

This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

The Household Market and Nonmarket Activities (HUS) project started as a joint research project between the Industrial Institute for Economic and Social Research (IUI) and Göteborg University in 1980. The ambition was to build a consistent longitudinal micro data base on the use of time, money and public services of households. The first main survey was carried out in 1984. In addition to a contact interview with the selected individuals, all designated individuals participated in a personal interview and two telephone interviews. All respondents were asked about their family background, education, marital status, labor market experience, and employment. In addition, questions about the household were asked of the head of household, concerning family composition, child care, health status, housing, possession of vacation homes, cars, boats and other consumption durables. At the end of the personal interview the household head had to fill out a questionnaire including questions about financing of current home, construction costs for building a house, house value and loans, imputation of property values and loans, additions/renovations 1983, maintenance and repairs, leasing, sale of previous home, assets and liabilities, and non-taxable benefits. All the respondents had to fill out a questionnaire including questions about tax-return information 1983, employment income, and taxes and support payments. Two telephone interviews were used primarily to collect data on the household´s time use and consumption expenditures. The 1986 HUS-survey included both a follow-up of the 1984 sample (panel study) and a supplementary sample. The 1986 sample included 1) all respondents participating in the 1984 survey, 2) the household heads, partners and third persons who should have participated in 1984 but did not (1984 nonresponse), 3) those individuals who started living together after the 1984 interview with an selected individual who participated or was supposed to participate in 1984, 4) members of the 1984 household born in 1966 or 1967. If entering a new household, for example because of leaving their parental home, the household head and his/her partner were also interviewed. Respondents participating in the 1984 survey were interviewed by telephone in 1986. Questions dealt with changes in family composition, housing, employment, wages and child care, and it was not only recorded whether a change had occurred, and what sort of change, but also when it occurred. The respondents also received a questionnaire by mail with questions mainly concerning income and assets. Respondents not participating in the earlier survey were interviewed in person and were asked approximately the same questions as in the 1984 personal interview. The 1988 HUS-survey was considerably smaller than the previous ones. It was addressed exclusively to participants in the 1986 survey, and consisted of a self-enumerated questionnaire with a nonrespondent follow-up by telephone. The questions dealt with changes in housing conditions, employment and household composition. The questionnaire also contained some questions on household income. In many respect the 1991 HUS-survey replicated the 1988 survey. The questions were basically the same in content and range, and the survey was conducted as a self-enamurated questionnaire sent out by mail. This time, however, in contrast to the 1988 survey, an attempt was made to include in the survey the new household members who had moved into sample households since 1986, as well as young people who turned 18 after the 1986 survey. Earlier respondents received a questionnaire by mail containing questions about their home, their primary occupation and weekly work hours since May 1988 (event-history data), earnings in 1989, 1990 and 1991, household composition and any changes in it that might have occurred since 1988, child care and some questions on income. New respondents were also asked about their education and labor-market experience. With respect to its design and question wording, the 1993 survey is a new version of the 1986 survey. The survey is made up of four parts: 1) the panel survey, which was addressed mainly to respondents in the 1991 survey, with certain additions; 2) the so-called supplementary survey, which focused on a new random sample of individuals; 3) the so-called nonresponse survey, which encompassed respondents who had participated in at least one of the earlier surveys but had since dropped out; 4) the time-use survey, which included the same sample of respondents as those in the panel and supplementary surveys. Individuals in the nonresponse group were not included in the time-use survey. Most of the questions in the first three surveys were the same, but certain questions sequences were targeted to the respondents in a specific survey. Thus certain retrospective questions were asked of the nonresponse group, while specific questions on social background, labor market experience etc. were addressed to new respondents. In the case of respondents who had already participated in the panel, a combined contact and main interview was conducted by telephone, after which a self-enumerated questionnaire was sent out to each respondent by mail. The panel sample also included young people in panel households who were born in 1973 or 1974 as well as certain new household members who had not previously been interviewed. These individuals, like new respondents, were not interviewed by telephone until they had been interviewed personally. Thus technically they were treated in the same manner as individuals in the supplementary sample. The new supplementary sample was first contacted by telephone and then given a fairly lengthy personal interview, at the conclusion of which each respondent was asked to fill out a written questionnaire. In this respect the survey design for the nonresponse sample was the same as for the supplementary sample. The nonresponse sample also included young people born in 1973 or 1974 as well as certain new household members. The time-use interviews were conducted by telephone. For each respondent two days were chosen at random from the period from February 15, 1993 to February 14, 1994 and the respondents were interviewed about their time use during those two days. If possible, the time-use interviews were preceded by the other parts of the survey, but this was not always feasible. In each household the household head and spouse/partner were interviewed, as well as an additional person in certain households. Questions regarding the household as a whole were asked of only one person in the household, preferably the household head. As in earlier surveys, data from the interviews was subsequently supplemented by registry data, but only for those respondents who had given their express consent. There is registry information for 75-80 percent of the sample. The telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; and cars and boats. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1992. The 1996 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and environment. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1995. The 1998 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and municipal service. The questionnaire was divided into nine sections: sale of previous home; house value and loans; insurance; home-related expenses; assets; household income; inheritances and gifts; black-market work; and respondent income 1997.

The Administrative Data Repository (ADR) was established to provide support for the administrative data elements relative to multiple categories of a person entity such as demographic and eligibility information. Although initially focused on the computing needs of the Veterans Health Administration, the ADR is positioned to provide identity management and demographics support for all IT systems within the Department of Veterans Affairs.

Bosnia and Herzegovina Average Monthly Gross Wage: NACE 2: Public Administration & Defence, Social Security data was reported at 2,943.258 BAM in Feb 2025. This records an increase from the previous number of 2,879.107 BAM for Jan 2025. Bosnia and Herzegovina Average Monthly Gross Wage: NACE 2: Public Administration & Defence, Social Security data is updated monthly, averaging 1,876.000 BAM from Jan 2008 (Median) to Feb 2025, with 206 observations. The data reached an all-time high of 2,943.258 BAM in Feb 2025 and a record low of 1,332.000 BAM in Jan 2008. Bosnia and Herzegovina Average Monthly Gross Wage: NACE 2: Public Administration & Defence, Social Security data remains active status in CEIC and is reported by Agency for Statistics of Bosnia and Herzegovina. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.G008: Average Monthly Gross Wage.

Characteristics of families and children served by Child Care and Development Fund (CCDF)

Switzerland Gross Median Annual Earnings: Employees: Administrative Staff data was reported at 58,500.000 CHF in 2017. This records a decrease from the previous number of 59,800.000 CHF for 2016. Switzerland Gross Median Annual Earnings: Employees: Administrative Staff data is updated yearly, averaging 55,400.000 CHF from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 59,800.000 CHF in 2016 and a record low of 46,000.000 CHF in 1991. Switzerland Gross Median Annual Earnings: Employees: Administrative Staff data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.G028: Gross Median Annual Earnings.

China Central Management SOE: Average Salary data was reported at 176,599.300 RMB/Person in 2022. This records an increase from the previous number of 165,579.300 RMB/Person for 2021. China Central Management SOE: Average Salary data is updated yearly, averaging 72,481.150 RMB/Person from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 176,599.300 RMB/Person in 2022 and a record low of 20,987.500 RMB/Person in 2002. China Central Management SOE: Average Salary data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OE: Non-financial Enterprise: State Owned and Holding: Central Management.

The Bibliography of Chinese Administrative Geography is a historical collection of bibliographic information on 75 published books describing the administrative geography of China. The information resides in a searchable database and includes title, author/editor, subject, spatial (national, provincial, local) and temporal coverage, publisher, description, and language, as well as location of the reference, for works published during the 1949-1994 period. This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, Universities Service Center at the Chinese University of Hong Kong, and the Center for International Earth Science Information Network (CIESIN).