United States Employment: NF: RT: GM: Department Stores data was reported at 994.400 Person th in Apr 2025. This records an increase from the previous number of 993.800 Person th for Mar 2025. United States Employment: NF: RT: GM: Department Stores data is updated monthly, averaging 1,477.200 Person th from Jan 1990 (Median) to Apr 2025, with 424 observations. The data reached an all-time high of 1,954.700 Person th in Dec 2000 and a record low of 729.500 Person th in Apr 2020. United States Employment: NF: RT: GM: Department Stores data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G056: Current Employment Statistics: Employment: Non Farm Payroll.

This filtered view presents Real Gross Domestic Product for the accommodation and food services sector and its subsectors in the State of Iowa by year beginning in 1997.

Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.

Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars, but have been multiplied by 1,000,000 to display in dollars for visualization purposes. Values are only accurate to the nearest $100,000.

Abstract

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

Documentation

Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

This filtered view presents Real Gross Domestic Product for the government and government enterprises sector and its subsectors in the State of Iowa by year beginning in 1997.

Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.

Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars, but have been multiplied by 1,000,000 to display in dollars for visualization purposes. Values are only accurate to the nearest $100,000.

Marriages Registered (Number) by Socio Economic Group of Groom, Year and Socio Economic Group of Bride

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This filtered view presents Real Gross Domestic Product for the real estate and rental and leasing sector and its subsectors in the State of Iowa by year beginning in 1997.

Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.

Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars, but have been multiplied by 1,000,000 to display in dollars for visualization purposes. Values are only accurate to the nearest $100,000.

Abstract

The harmonized data set on health, created and published by the ERF, is a subset of Iraq Household Socio Economic Survey (IHSES) 2012. It was derived from the household, individual and health modules, collected in the context of the above mentioned survey. The sample was then used to create a harmonized health survey, comparable with the Iraq Household Socio Economic Survey (IHSES) 2007 micro data set.

----> Overview of the Iraq Household Socio Economic Survey (IHSES) 2012:

Iraq is considered a leader in household expenditure and income surveys where the first was conducted in 1946 followed by surveys in 1954 and 1961. After the establishment of Central Statistical Organization, household expenditure and income surveys were carried out every 3-5 years in (1971/ 1972, 1976, 1979, 1984/ 1985, 1988, 1993, 2002 / 2007). Implementing the cooperation between CSO and WB, Central Statistical Organization (CSO) and Kurdistan Region Statistics Office (KRSO) launched fieldwork on IHSES on 1/1/2012. The survey was carried out over a full year covering all governorates including those in Kurdistan Region.

The survey has six main objectives. These objectives are:

1. Provide data for poverty analysis and measurement and monitor, evaluate and update the implementation Poverty Reduction National Strategy issued in 2009.
2. Provide comprehensive data system to assess household social and economic conditions and prepare the indicators related to the human development.
3. Provide data that meet the needs and requirements of national accounts.
4. Provide detailed indicators on consumption expenditure that serve making decision related to production, consumption, export and import.
5. Provide detailed indicators on the sources of households and individuals income.
6. Provide data necessary for formulation of a new consumer price index number.

The raw survey data provided by the Statistical Office were then harmonized by the Economic Research Forum, to create a comparable version with the 2006/2007 Household Socio Economic Survey in Iraq. Harmonization at this stage only included unifying variables' names, labels and some definitions. See: Iraq 2007 & 2012- Variables Mapping & Availability Matrix.pdf provided in the external resources for further information on the mapping of the original variables on the harmonized ones, in addition to more indications on the variables' availability in both survey years and relevant comments.

Geographic coverage

National coverage: Covering a sample of urban, rural and metropolitan areas in all the governorates including those in Kurdistan Region.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey was carried out over a full year covering all governorates including those in Kurdistan Region.

Kind of data

Sample survey data [ssd]

Sampling procedure

----> Design:

Sample size was (25488) household for the whole Iraq, 216 households for each district of 118 districts, 2832 clusters each of which includes 9 households distributed on districts and governorates for rural and urban.

----> Sample frame:

Listing and numbering results of 2009-2010 Population and Housing Survey were adopted in all the governorates including Kurdistan Region as a frame to select households, the sample was selected in two stages: Stage 1: Primary sampling unit (blocks) within each stratum (district) for urban and rural were systematically selected with probability proportional to size to reach 2832 units (cluster). Stage two: 9 households from each primary sampling unit were selected to create a cluster, thus the sample size of total survey clusters was 25488 households distributed on the governorates, 216 households in each district.

----> Sampling Stages:

In each district, the sample was selected in two stages: Stage 1: based on 2010 listing and numbering frame 24 sample points were selected within each stratum through systematic sampling with probability proportional to size, in addition to the implicit breakdown urban and rural and geographic breakdown (sub-district, quarter, street, county, village and block). Stage 2: Using households as secondary sampling units, 9 households were selected from each sample point using systematic equal probability sampling. Sampling frames of each stages can be developed based on 2010 building listing and numbering without updating household lists. In some small districts, random selection processes of primary sampling may lead to select less than 24 units therefore a sampling unit is selected more than once , the selection may reach two cluster or more from the same enumeration unit when it is necessary.

Mode of data collection

Face-to-face [f2f]

Research instrument

----> Preparation:

The questionnaire of 2006 survey was adopted in designing the questionnaire of 2012 survey on which many revisions were made. Two rounds of pre-test were carried out. Revision were made based on the feedback of field work team, World Bank consultants and others, other revisions were made before final version was implemented in a pilot survey in September 2011. After the pilot survey implemented, other revisions were made in based on the challenges and feedbacks emerged during the implementation to implement the final version in the actual survey.

----> Questionnaire Parts:

The questionnaire consists of four parts each with several sections: Part 1: Socio – Economic Data: - Section 1: Household Roster - Section 2: Emigration - Section 3: Food Rations - Section 4: housing - Section 5: education - Section 6: health - Section 7: Physical measurements - Section 8: job seeking and previous job

Part 2: Monthly, Quarterly and Annual Expenditures: - Section 9: Expenditures on Non – Food Commodities and Services (past 30 days). - Section 10 : Expenditures on Non – Food Commodities and Services (past 90 days). - Section 11: Expenditures on Non – Food Commodities and Services (past 12 months). - Section 12: Expenditures on Non-food Frequent Food Stuff and Commodities (7 days). - Section 12, Table 1: Meals Had Within the Residential Unit. - Section 12, table 2: Number of Persons Participate in the Meals within Household Expenditure Other Than its Members.

Part 3: Income and Other Data: - Section 13: Job - Section 14: paid jobs - Section 15: Agriculture, forestry and fishing - Section 16: Household non – agricultural projects - Section 17: Income from ownership and transfers - Section 18: Durable goods - Section 19: Loans, advances and subsidies - Section 20: Shocks and strategy of dealing in the households - Section 21: Time use - Section 22: Justice - Section 23: Satisfaction in life - Section 24: Food consumption during past 7 days

Part 4: Diary of Daily Expenditures: Diary of expenditure is an essential component of this survey. It is left at the household to record all the daily purchases such as expenditures on food and frequent non-food items such as gasoline, newspapers…etc. during 7 days. Two pages were allocated for recording the expenditures of each day, thus the roster will be consists of 14 pages.

Cleaning operations

----> Raw Data:

Data Editing and Processing: To ensure accuracy and consistency, the data were edited at the following stages: 1. Interviewer: Checks all answers on the household questionnaire, confirming that they are clear and correct. 2. Local Supervisor: Checks to make sure that questions has been correctly completed. 3. Statistical analysis: After exporting data files from excel to SPSS, the Statistical Analysis Unit uses program commands to identify irregular or non-logical values in addition to auditing some variables. 4. World Bank consultants in coordination with the CSO data management team: the World Bank technical consultants use additional programs in SPSS and STAT to examine and correct remaining inconsistencies within the data files. The software detects errors by analyzing questionnaire items according to the expected parameter for each variable.

----> Harmonized Data:

• The SPSS package is used to harmonize the Iraq Household Socio Economic Survey (IHSES) 2007 with Iraq Household Socio Economic Survey (IHSES) 2012.
• The harmonization process starts with raw data files received from the Statistical Office.
• A program is generated for each dataset to create harmonized variables.
• Data is saved on the household and individual level, in SPSS and then converted to STATA, to be disseminated.

Response rate

Iraq Household Socio Economic Survey (IHSES) reached a total of 25488 households. Number of households refused to response was 305, response rate was 98.6%. The highest interview rates were in Ninevah and Muthanna (100%) while the lowest rates were in Sulaimaniya (92%).

Germany FSO Projection: Population: Berlin data was reported at 3,929.000 Person th in 2060. This records a decrease from the previous number of 3,930.000 Person th for 2059. Germany FSO Projection: Population: Berlin data is updated yearly, averaging 3,875.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 3,931.000 Person th in 2057 and a record low of 3,471.000 Person th in 2014. Germany FSO Projection: Population: Berlin data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

Table NameEducational Services: Subject Series: Estab & Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1261SSSZ1 through EC1261SSSZ5 and EC1261SSSZ7 present data by employment and receipts/revenue size for establishments and firms, single unit and multiunit firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Educational Services (Sector 61).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Establishments.Receipts/Revenue.Receipts/Revenue of largest firms as a percent of total receipts/revenue.Annual payroll.First-quarter payroll.Paid employees.Each record includes a CONCENFI code which represents a specific firm concentration category (including all firms, 4 largest firms, 8 largest firms, 20 largest firms, and 50 largest firms).FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector61/EC1261SSSZ6.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only firms and establishments of firms with payroll. Excludes data for corporate, subsidiary, and regional managing offices and establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

United States Avg Weekly Earnings: OS: Computer & Office Machine Repair data was reported at 936.120 USD in May 2018. This records a decrease from the previous number of 981.820 USD for Apr 2018. United States Avg Weekly Earnings: OS: Computer & Office Machine Repair data is updated monthly, averaging 903.210 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,080.770 USD in May 2016 and a record low of 608.870 USD in Mar 2006. United States Avg Weekly Earnings: OS: Computer & Office Machine Repair data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

These are jobs supported through Economic Development Department program, services and activities.

Retail Price: DOAC: Eggs: Maharashtra: Nasik data was reported at 70.000 INR/Dozen in Mar 2023. This stayed constant from the previous number of 70.000 INR/Dozen for Feb 2023. Retail Price: DOAC: Eggs: Maharashtra: Nasik data is updated monthly, averaging 60.000 INR/Dozen from Jan 2005 (Median) to Mar 2023, with 84 observations. The data reached an all-time high of 87.000 INR/Dozen in Sep 2021 and a record low of 15.000 INR/Dozen in Mar 2006. Retail Price: DOAC: Eggs: Maharashtra: Nasik data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC141: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Eggs.

Retail Price: DOAC: Apple: Uttar Pradesh: Gorakhpur data was reported at 140.000 INR/kg in Mar 2023. This records an increase from the previous number of 95.000 INR/kg for Feb 2023. Retail Price: DOAC: Apple: Uttar Pradesh: Gorakhpur data is updated monthly, averaging 80.000 INR/kg from Feb 2005 (Median) to Mar 2023, with 197 observations. The data reached an all-time high of 200.000 INR/kg in Jun 2021 and a record low of 25.000 INR/kg in Oct 2005. Retail Price: DOAC: Apple: Uttar Pradesh: Gorakhpur data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC123: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Apple.

Retail Price: DOAC: Eggs: Union Territories: Chandigarh data was reported at 28.000 INR/Dozen in Oct 2007. This stayed constant from the previous number of 28.000 INR/Dozen for Sep 2007. Retail Price: DOAC: Eggs: Union Territories: Chandigarh data is updated monthly, averaging 24.000 INR/Dozen from May 2005 (Median) to Oct 2007, with 19 observations. The data reached an all-time high of 30.000 INR/Dozen in Feb 2007 and a record low of 16.000 INR/Dozen in May 2005. Retail Price: DOAC: Eggs: Union Territories: Chandigarh data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC141: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Eggs.

Retail Price: DOAC: Fish: Pomphret: Gujarat: Rajkot data was reported at 650.000 INR/kg in Mar 2023. This stayed constant from the previous number of 650.000 INR/kg for Feb 2023. Retail Price: DOAC: Fish: Pomphret: Gujarat: Rajkot data is updated monthly, averaging 550.000 INR/kg from Nov 2013 (Median) to Mar 2023, with 19 observations. The data reached an all-time high of 650.000 INR/kg in Mar 2023 and a record low of 500.000 INR/kg in Apr 2014. Retail Price: DOAC: Fish: Pomphret: Gujarat: Rajkot data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC143: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Fish: Pomphret.

Retail Price: DOAC: Masur: Split: Tripura: Agartala data was reported at 115.000 INR/kg in Mar 2023. This records a decrease from the previous number of 118.000 INR/kg for Feb 2023. Retail Price: DOAC: Masur: Split: Tripura: Agartala data is updated monthly, averaging 80.000 INR/kg from Jan 2005 (Median) to Mar 2023, with 204 observations. The data reached an all-time high of 120.000 INR/kg in Mar 2022 and a record low of 30.000 INR/kg in Feb 2005. Retail Price: DOAC: Masur: Split: Tripura: Agartala data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC154: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Masur.

Retail Price: DOAC: Banana: Meghalaya: Shillong data was reported at 85.000 INR/Dozen in Mar 2023. This stayed constant from the previous number of 85.000 INR/Dozen for Feb 2023. Retail Price: DOAC: Banana: Meghalaya: Shillong data is updated monthly, averaging 70.000 INR/Dozen from Jan 2005 (Median) to Mar 2023, with 217 observations. The data reached an all-time high of 140.000 INR/Dozen in Sep 2013 and a record low of 12.000 INR/Dozen in Jan 2005. Retail Price: DOAC: Banana: Meghalaya: Shillong data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC127: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Banana.

Retail Price: DOAC: Maize: Odisha: Cuttack data was reported at 28.000 INR/kg in Mar 2023. This stayed constant from the previous number of 28.000 INR/kg for Feb 2023. Retail Price: DOAC: Maize: Odisha: Cuttack data is updated monthly, averaging 24.000 INR/kg from Jul 2006 (Median) to Mar 2023, with 121 observations. The data reached an all-time high of 45.000 INR/kg in Jul 2022 and a record low of 8.000 INR/kg in Jul 2006. Retail Price: DOAC: Maize: Odisha: Cuttack data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC153: Retail Price: Department of Agriculture and Cooperation: Food: by Cities: Maize.

Retail Price: DOAC: Pencil: Odisha: Bhubneshwar data was reported at 26.000 INR/Unit in Oct 2014. This records an increase from the previous number of 22.000 INR/Unit for Sep 2014. Retail Price: DOAC: Pencil: Odisha: Bhubneshwar data is updated monthly, averaging 9.000 INR/Unit from Jan 2005 (Median) to Oct 2014, with 116 observations. The data reached an all-time high of 26.000 INR/Unit in Oct 2014 and a record low of 4.000 INR/Unit in Feb 2005. Retail Price: DOAC: Pencil: Odisha: Bhubneshwar data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PB157: Retail Price: Department of Agriculture and Cooperation: Non Food: by Cities: Pencil (Discontinued).

Hong Kong CSD Forecast: Labour Force: Qtr: Female: Age 45 to 49 data was reported at 194,800.000 Person in 2066. This records an increase from the previous number of 194,700.000 Person for 2065. Hong Kong CSD Forecast: Labour Force: Qtr: Female: Age 45 to 49 data is updated yearly, averaging 215,900.000 Person from Dec 2016 (Median) to 2066, with 51 observations. The data reached an all-time high of 233,600.000 Person in 2057 and a record low of 174,200.000 Person in 2050. Hong Kong CSD Forecast: Labour Force: Qtr: Female: Age 45 to 49 data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.G015: Labour Force: GHS: RPA: Forecast: Census and Statistics Department.