The Annual Integrated Economic Survey (AIES) consolidates seven existing annual business surveys into one, replacing the Annual Capital Expenditures Survey, Annual Retail Trade Survey, Annual Survey of Manufacturers, Annual Wholesale Trade Survey, Manufacturer's Unfilled Orders Survey, Report of Organization, and Services Annual Survey. AIES will provide comprehensive national and subnational data on business revenues, expenses, and assets, using the North American Industry Classification System (NAICS). Key statistics include capital expenditures, employment, expenses, inventories, payroll, and sales or revenue.

Key Table Information.Table Title.All Sectors: Summary Statistics for Industry Groups and Industries for Employer Firms in the U.S. and Selected Geographies.Table ID.AIESBASICTIMESERIES.AIES00BASIC.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Annual Integrated Economic Survey Summary Statistics.Source.U.S. Census Bureau, Economic Surveys, Annual Integrated Economic Survey.Release Date.2025-07-31.Release Schedule.The Annual Integrated Economic Survey (AIES) occurs every year, beginning in reference year 2023.The data in this file were released in July 2025. Totals released in July 2025 will be superseded by the AIES main release in fall 2025..Dataset Universe.The dataset universe consists of domestic, private sector, and nonfarm employer businesses in operation for at least some part of the survey year, located in one of the 50 U.S. states or the District of Columbia, having paid employees, and classified in one of the nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Sales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesCoefficient of variation for sales, value of shipments, or revenue (%)Coefficient of variation for annual payroll (%)Coefficient of variation for first-quarter payroll (%)Coefficient of variation for number of employees (%)Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting unit for the AIES is the company. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S., region, and division levels, with the exception of sectors 21, 23, and 55 and subsector 115, where the data are shown for the U.S. level only. For information about AIES geographies, see Geographies..Industry Coverage.The data are shown at the 2- through 3-digit 2017 NAICS code levels for all sectors except Agriculture, which are being released at the NAICS 115 level only. For the list of industries in-scope to AIES, see Methodology. For information about NAICS, see North American Industry Classification System..Business Characteristics.For Wholesale Trade (42), data are presented by Type of Operation (All establishments; Merchant Wholesalers, except Manufacturers’ Sales Branches and Offices; and Manufacturers’ Sales Branches and Offices)..Sampling.For more information about the sample design, see Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7529180, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0362).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.More information on disclosure avoidance is available in the Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, and more, see Annual Integrated Economic Survey Technical Documentation..Weights.The weight for a given sampling unit is the reciprocal of its probability of selection into the AIES sample. For more information about tabulation weights, see Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/aies/data/.API Information.Annual Integrated Economic Survey (AIES) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.Z - Rounds to zerov - Estimated coefficient of variation between 30.0% and 60.8%. Data users should exercise caution when using an estimate with high sampling error.w - Estimated coefficient of variation exceeds 60.8%. Estimate is not significantly different from zero at a 90% confidence level..Data-Specific Notes.Cell notes:Agriculture (11):cell note 810- Excludes Support Activities for Forestry (NAICS 1153).Utilities (22):cell note 804- Excludes government owned utilities.Transportation and Warehousing (48-49):cell note 807- Excludes Rail Transportation (NAICS 482) and Postal Service (NAICS 491).Finance and Insurance (52):cell note 815- Excludes Funds, Trusts, and Other ...

we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI).American Community Survey (ACS):Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themesEach tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability.SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively. In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United StatesNote: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2015-2019 ACSEP_PCIEP_PCIPer capita income estimate, 2015-2019 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2015-2019 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2015-2019 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2015-2019 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2015-2019 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computerThis table provides a mapping between the CSV variable names and the shapefile variable names, along with a brief description of each variable.

Pakistan Household Income & Exp: Urban: Disposable Income per Household data was reported at 45,200.730 PKR in 2016. This records an increase from the previous number of 38,817.640 PKR for 2014. Pakistan Household Income & Exp: Urban: Disposable Income per Household data is updated yearly, averaging 27,596.380 PKR from Jun 2002 (Median) to 2016, with 7 observations. The data reached an all-time high of 45,200.730 PKR in 2016 and a record low of 9,848.460 PKR in 2002. Pakistan Household Income & Exp: Urban: Disposable Income per Household data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.H011: Household Integrated Economic Survey: Household Income and Expenditure.

Abstract

The Uganda National Household Survey (UNHS) 1995-96 like the earlier household surveys covered the entire country. Subject-wise the survey collected data on area and outputs of major crops grown by households along with socio-economic aspects including child-health and mother care. UNHS also included a community survey collecting information on markets and prices and other infrastructure and facilities available for the residents at RC1 level.

The objectives of the survey was as follows: a) To plan, design and conduct a national household crop farming survey and to prepare reports thereon providing estimates of area and output of major crops on a continuing annual basis; b) To integrate monitoring socio-economic household and community surveys in the total programme to provide integrated dataset to understand the mechanisms and effects of structural adjustments and other policy measures on a continuing basis. c) To meet the data-needs of users in the National Council of Children, UNICEF, Ministry of Health and others to monitor the progress of project activities aimed towards improvement of child-health and mother-care; d) To fill-in gaps in socio-economic data to serve needs of planning for social and economic indicators to serve needs of planning for social and economic development of the country; and e) To consolidate efforts made in building permanent national household survey capability in the Statistical Department of the Ministry of Finance and Economic Planning.

Geographic coverage

National

Analysis unit

• Household
• Individual
• Major crop
• Community

Universe

The survey covered all de jure household members (usual residents).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of UNHS is stratified multi-stage sampling. Each district is a separate stratum with further sub-stratification as district-town, other urban areas and rural areas. There are a total of 103 strata. In rural areas further stratifications by crop-types and grouping sub-countries in a district growing similar major crops had been done.

(Refer to Chapter 2 (Sampling Design on UNHS, 1995-96) of "Manual of Instructions to Field Workers" survey document for detail sampling procedure)

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey have four questionnaires namely: i) Listing questionnaire; ii) Crop-survey questionnaire; iii) Socio-economic survey questionnaire; and iv) Community questionnaire

Listing Questionnaire is meant for preparation of comprehensive lists of households and selection of a sample of households in selected EAs. The Cop-Survey Questionnaire collected data on household characteristics including education and health of the members of the household and on employment, areas and outputs of the crop-farming activity of household. Through the Socio-economic Survey Questionnaire, important socio-economic data relating to household and its members, collected. Community Survey Questionnaire collected community level data.

The Instituto de Crédito Oficial (ICO) publishes an annual integrated report / Annual Sustainability Report - Non-Financial Information Statement summarizing its economic, environmental, social and corporate governance performance. This report follows the Global Reporting Initiative (GRI) standards and highlights ICO's contribution to the UN Sustainable Development Goals.

About this dataset

Context

The dataset tabulates the Economy household income by age. The dataset can be utilized to understand the age-based income distribution of Economy income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Economy, IN annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Economy, IN household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Economy income distribution by age. You can refer the same here

Pakistan Average Number per Household data was reported at 6.240 Person in 2019. This records a decrease from the previous number of 6.310 Person for 2016. Pakistan Average Number per Household data is updated yearly, averaging 6.410 Person from Jun 2002 (Median) to 2019, with 9 observations. The data reached an all-time high of 6.960 Person in 2002 and a record low of 6.240 Person in 2019. Pakistan Average Number per Household data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.H005: Household Integrated Economic Survey: Average Numbers per Household.

Pakistan Average Monthly Income: Household: Rural data was reported at 30,110.000 PKR in 2016. This records an increase from the previous number of 26,452.000 PKR for 2014. Pakistan Average Monthly Income: Household: Rural data is updated yearly, averaging 18,712.700 PKR from Jun 2005 (Median) to 2016, with 7 observations. The data reached an all-time high of 30,110.000 PKR in 2016 and a record low of 7,929.000 PKR in 2005. Pakistan Average Monthly Income: Household: Rural data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.H006: Household Integrated Economic Survey: Average Monthly Income: Household.

Pakistan Household Income & Exp: Disposable Income per Household data was reported at 35,585.430 PKR in 2016. This records an increase from the previous number of 30,870.050 PKR for 2014. Pakistan Household Income & Exp: Disposable Income per Household data is updated yearly, averaging 21,721.460 PKR from Jun 2002 (Median) to 2016, with 7 observations. The data reached an all-time high of 35,585.430 PKR in 2016 and a record low of 7,140.590 PKR in 2002. Pakistan Household Income & Exp: Disposable Income per Household data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.H011: Household Integrated Economic Survey: Household Income and Expenditure.

Pakistan Average Monthly Income: Household data was reported at 41,545.000 PKR in 2019. This records an increase from the previous number of 35,662.000 PKR for 2016. Pakistan Average Monthly Income: Household data is updated yearly, averaging 23,732.135 PKR from Jun 2005 (Median) to 2019, with 8 observations. The data reached an all-time high of 41,545.000 PKR in 2019 and a record low of 9,685.000 PKR in 2005. Pakistan Average Monthly Income: Household data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.H006: Household Integrated Economic Survey: Average Monthly Income: Household.

Armenia Population: Annual Avg: Economically Inactive: Full Time Students data was reported at 167.000 Person th in 2022. This records a decrease from the previous number of 175.700 Person th for 2021. Armenia Population: Annual Avg: Economically Inactive: Full Time Students data is updated yearly, averaging 160.700 Person th from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 219.300 Person th in 2008 and a record low of 138.000 Person th in 2017. Armenia Population: Annual Avg: Economically Inactive: Full Time Students data remains active status in CEIC and is reported by Statistical Committee of the Republic of Armenia. The data is categorized under Global Database’s Armenia – Table AM.G005: Labour Resources: Integrated Living Condition Survey .

Armenia Population: Annual Avg: Working Age data was reported at 2,304.300 Person th in 2024. This records an increase from the previous number of 2,223.200 Person th for 2023. Armenia Population: Annual Avg: Working Age data is updated yearly, averaging 2,223.200 Person th from Dec 2008 (Median) to 2024, with 17 observations. The data reached an all-time high of 2,397.600 Person th in 2009 and a record low of 2,011.400 Person th in 2016. Armenia Population: Annual Avg: Working Age data remains active status in CEIC and is reported by Statistical Committee of the Republic of Armenia. The data is categorized under Global Database’s Armenia – Table AM.G005: Labour Resources: Integrated Living Condition Survey .

Armenia Population: Annual Avg: Economically Active: Employed: Employees data was reported at 722.200 Person th in 2022. This records an increase from the previous number of 697.700 Person th for 2021. Armenia Population: Annual Avg: Economically Active: Employed: Employees data is updated yearly, averaging 663.200 Person th from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 722.200 Person th in 2022 and a record low of 584.000 Person th in 2016. Armenia Population: Annual Avg: Economically Active: Employed: Employees data remains active status in CEIC and is reported by Statistical Committee of the Republic of Armenia. The data is categorized under Global Database’s Armenia – Table AM.G005: Labour Resources: Integrated Living Condition Survey .