The average size of households in Mexico amounted to about **** people in 2020. The household size fell by approximately **** people from 2000.

This map shows the average household size in Mexico by State and Municipality. Data is from Censo INEGI 2020. Each layer is configured with a pop-up for additional information. In addition, the Municipality layer is configured with a new Map Viewer chart. Censo INEGI 2020 Información Viviendas Municipal /INEGI Census 2020 Household Information by MunicipalityEsta capa muestra la información de los hogares de México a nivel municipal. También hay atributos, que representan estas características como porcentaje del total de hogares en el municipio, que se pueden mapear o utilizar en el análisis.La capa está simbolizada por el porcentaje de hogares que cuentan con internet, a nivel municipal. Para ver la lista completa de atributos disponibles en este servicio, vaya a la pestaña "Datos" y seleccione "Campos" en la parte superior derecha.Esta capa lista para usar se puede usar dentro de ArcGIS Pro, ArcGIS Online, sus aplicaciones configurables, paneles, Story Maps, aplicaciones personalizadas y aplicaciones móviles. Los datos también se pueden exportar para flujos de trabajo sin conexión. Por favor, cite al INEGI (Instituto Nacional de Estadística y Geografia) cuando utilice estos datos.Información adicional sobre documentación y metodología del censo se puede encontrar en Censo Población y Vivienda 2020 (inegi.org.mx)_This layer shows household information for Mexico at a municipal level. There are also attributes, representing these characteristics as percentage of total municipal households, which can be mapped or used within analysis. The layer is symbolized by the percentage of homes in Mexico that have internet, at the municipal level. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite INEGI (Instituto Nacional de Estadistica y Geografia) when using this data.Additional information regarding documentation and methodology regarding the census can be found at Censo Población y Vivienda 2020 (inegi.org.mx)

Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item. This layer shows the average household size in Mexico in 2022, in a multiscale map (Country, State, Municipality, and Basic Statistical Area). Nationally, the average household size is 3.6 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCounts of households by typeCounts of population by 15-year age increments The source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Mexico, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Mexico town did not include 5, 6, or 7-person households. Across the different household sizes in Mexico town the mean income is $56,053, and the standard deviation is $32,879. The coefficient of variation (CV) is 58.66%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $18,526. It then further increased to $98,672 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/mexico-me-median-household-income-by-household-size.jpeg" alt="Mexico, Maine median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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/.

Recommended for further research

This dataset is a part of the main dataset for Mexico town median household income. You can refer the same here

Key information about Mexico Household Expenditure per Capita

• Mexico Annual Household Expenditure per Capita reached 3,102.826 USD in Dec 2024, compared with the last update number of 2,315.364 USD in Dec 2022.
• Mexico Annual Household Expenditure per Capita data is updated yearly, available from Dec 2006 to Dec 2024, with an averaged value of 2,747.314 USD.
• The data reached an all-time high of 3,614.627 USD in Dec 2006 and a record low of 1,569.416 USD in Dec 2020.
• In the latest reports, Retail Sales of Mexico grew 2.418 % YoY in Sep 2025.

CEIC calculates Annual Household Expenditure per Capita from Quarterly Average Household Expenditure multiplied by 4 and Average Household Size. Average Household Size is calculated by dividing Average Household Income per Capita from Average Household Income. CEIC converts Annual Household Expenditure into USD. The National Institute of Statistics and Geography provides Average Household Expenditure and Income and Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.

The data on relationship to householder were derived from answers to Question 2 in the 2015 American Community Survey (ACS), which was asked of all people in housing units. The question on relationship is essential for classifying the population information on families and other groups. Information about changes in the composition of the American family, from the number of people living alone to the number of children living with only one parent, is essential for planning and carrying out a number of federal programs.

The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multi-generational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.

Household – A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.

Average Household Size – A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual.

Average household size is rounded to the nearest hundredth.

Comparability – The relationship categories for the most part can be compared to previous ACS years and to similar data collected in the decennial census, CPS, and SIPP. With the change in 2008 from “In-law” to the two categories of “Parent-in-law” and “Son-in-law or daughter-in-law,” caution should be exercised when comparing data on in-laws from previous years. “In-law” encompassed any type of in-law such as sister-in-law. Combining “Parent-in-law” and “son-in-law or daughter-in-law” does not represent all “in-laws” in 2008.

The same can be said of comparing the three categories of “biological” “step,” and “adopted” child in 2008 to “Child” in previous years. Before 2008, respondents may have considered anyone under 18 as “child” and chosen that category. The ACS includes “foster child” as a category. However, the 2010 Census did not contain this category, and “foster children” were included in the “Other nonrelative” category. Therefore, comparison of “foster child” cannot be made to the 2010 Census. Beginning in 2013, the “spouse” category includes same-sex spouses.

Abstract

The objective of the ENIGH is to provide a statistical overview of the behavior of household income and expenditure in terms of its amount, origin and distribution; it also offers information on the occupational and sociodemographic characteristics of the members of the household, as well as the characteristics of the housing infrastructure and household equipment.

From 1984, when INEGI began to carry out the survey, until today, new methodologies have been developed, international recommendations have been issued and good practices have been documented for the generation of information on household income and expenditure through surveys. During this period, additions have been made to the subject of the survey, methodological updates and innovations in the processes, to obtain results that reflect reality, taking into account international recommendations and the information requirements of the different users. When the adoption of recommendations and good practices implied a break in the comparability of results, it was preferred to maintain historical comparability.

As of 2008, INEGI decided to publish the results of the ENIGH, whose variables have been constructed and presented in accordance with the recommendations of the UN, specifically, those issued at the 17th International Conference of Labor Statisticians and in the Report of the Canberra Group. This new construction is also the one used in the database of the Socioeconomic Conditions Module of the ENIGH, which is the source of information for the multidimensional measurement of poverty carried out by the National Council for the Evaluation of Social Development Policy (CONEVAL).

However, in addition to mentioning and analyzing the international recommendations that were put into practice at ENIGH 2022, this document also relates the background of ENIGH, how it emerged and the significant changes it has undergone since then; the objectives of the survey and the recruitment instruments used are mentioned; likewise, as the main axis, there is the description of income and expenditure, their sources, their correlation and implications, this, as the main indicators of household well-being; another chapter lists the main users of the survey information; and finally, the schemes of the topics, categories and variables used in the ENIGH 2022 are presented.

Periodicity: Since 1992 it has been carried out biennially (every two years) with the exception of 2005 when an extraordinary survey was carried out.

Target population: It is made up of the households of nationals or foreigners, who usually reside in private homes within the national territory.

Selection Unit: Private home. The dwellings are chosen through a meticulous statistical process that guarantees that the results obtained from only a part of the population (sample) can be generalized to the total.

Sampling Frame: The sampling frame used is the multipurpose framework of the INEGI, it is constituted with the demographic and cartographic information obtained from the Population and Housing Census 2010. Effective sample size: 105 525 households Observation unit: The household.

Unit of analysis: The household, the dwelling and the members of the household.

Thematic coverage:

Characteristics of the house. Residents and identification of households in the dwelling. Sociodemographic characteristics of the residents of the dwelling. Home equipment, services. Activity condition and occupational characteristics of household members aged 12 and over. Total current income (monetary and non-monetary) of households. Financial and capital perceptions of households and their members. Current monetary expenditure of households. Financial and capital expenditures of households.

The different concepts of the ENIGH are governed by recommendations agreed upon in international conventions, for example:

The resolutions and reports of the 18 International Conferences on Labour Statistics, of the International Labour Organization (ILO).

The final report and recommendations of the Canberra Group, an expert group on "Household Income Statistics".

Manual of Household Surveys. Department of International Economic and Social Affairs, Bureau of Statistics. United Nations, New York, 1987.

They are also articulated with the System of National Accounts and with the Household Surveys carried out by INEGI.

Sample size: At the national level there are, including the ten, 105,525 private homes.

Workload: According to the meticulousness in the recording of information in this project, a load of six interviews in private homes per dozen has been defined for each interviewer. The number of interviews may decrease or increase according to several factors: non-response, recovery from non-response, or additional households.

Geographic coverage

National and at the state level - Urban area: localities with 2,500 or more inhabitants - Rural area: localities with less than 2,500 inhabitants

Analysis unit

The household, the dwelling and the members of the household

Universe

The survey is aimed at households in the national territory

Kind of data

Probabilistic household survey

Sampling procedure

The design of the subsample for ENIGH-2022 is characterized by being probabilistic; Consequently, the results obtained from the survey are generalized to the entire population of the study domain, in turn it is two-stage, stratified and by clusters, where the ultimate unit of selection is the dwelling and the unit of observation is the household.

The ENIGH-2022 subsample was selected from the 2012 INEGI master sample, this master sample was designed and selected from the 2012 Master Sampling Framework (Marco Maestro de Muestreo (MMM)) which was made up of housing clusters called Primary Sampling Units (PSUs or Unidades Primarias de Muestreo (UPM)), built from the cartographic and demographic information obtained from the 2010 Population and Housing Census. The master sample allows the selection of subsamples for all housing surveys carried out by INEGI; Its design is probabilistic, stratified, single-stage and by clusters, since it is in them that the dwellings that make up the subsamples of the different surveys were selected in a second stage. The design of the MMM was built as follows:

Formation of the primary sampling units (PSUs) First, the set of PSUs that will cover the national territory is built. The primary sampling units are made up of groups of dwellings with differentiated characteristics depending on the area to which they belong, as specified below:

In high urban areas The minimum size of a PSU is 80 inhabited dwellings and the maximum is 160. They can be made up of: · A block · The union of two or more contiguous blocks of the same AGEB. · The union of two or more contiguous blocks of different AGEBs in the same locality. · The union of two or more contiguous blocks of different localities, which belong to the same size of locality.

In urban complement The minimum size of a PSU is 160 inhabited homes and the maximum is 300. They can be made up of: · A block. · The union of two or more contiguous blocks of the same AGEB · The union of two or more contiguous blocks of different AGEBs in the same locality. · The union of two or more contiguous blocks of different AGEBs and localities, but of the same municipality.

In rural areas The minimum size of a PSU is 160 inhabited homes and the maximum is 300. They can be made up of: · An AGEB. · Part of an AGEB. · The union of two or more adjoining AGEBs in the same municipality. · The union of an AGEB with a part of another adjoining AGEB in the same municipality.

In this way, each PSU was classified into a single geographical and a sociodemographic stratum. As a result, a total of 683 strata were obtained throughout the country.

The sample size for the ENIGH 2022 was calculated at the Entity level with urban and rural scope considering the variables and non-response rates mentioned above.

At the Entity level in the urban area, in the case of the variable Quarterly Average Current Income, there is a variation between 31 554.58 and 91 003.53, with a variance that isthe between 609 706 543.70 and 570 110 356 234.59, and a design effect that fluctuates between 1.09 and 4.24.

At the Entity level with a rural environment, the variable Quarterly Average Current Income varies between 14 115.33 and 44 778.03, with a variance that ranges between 156 406 519.01 and 12 108 216 477.28, and a design effect that fluctuates between 1.00 and 9.43. Annex C presents the sample sizes for urban and rural entity areas.

Integrating the sample sizes at the national level, there is a sample size of 105,525 households, which guarantees an error of 4.485% at the national level for the variable average quarterly current income.

Sampling deviation

The ENIGH 2022, were raised in a national sample of 105,525 selected homes.

The sample allows information to be obtained at the national level, with a breakdown for localities of 2,500 and more inhabitants and localities of less than 2,500 inhabitants.

Mode of data collection

Face-to-face [f2f]

Research instrument

Six collection instruments will be used for the collection of information in each household, four of which concentrate information on the household as a whole.

These are: - Household and housing questionnaire - Household expenditure questionnaires - Daily expenditure booklet

In the other three, individual information is recorded for people - Questionnaire for people aged 12 and over - Questionnaire for people under 12 years of age - Questionnaire for household businesses

Cleaning

Key information about Mexico Household Debt

• Mexico Household Debt reached 311.6 USD bn in Jun 2025, compared with the reported number of 282.0 USD bn in the previous quarter
• Mexico Household Debt: USD mn data is updated quarterly, available from Dec 2000 to Jun 2025
• The data reached an all-time high of 320.4 USD bn in Mar 2024 and a record low of 53.5 USD bn in Dec 2000

CEIC converts quarterly Household Debt into USD. The Bank of Mexico provides Household Debt in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Household Debt includes Mortgages and Consumer Loans.


Further information about Mexico Household Debt

• In the latest reports, Mexico Household Debt accounted for 17.0 % of the country's Nominal GDP in Jun 2025
• Money Supply M2 in Mexico increased 862.8 USD bn YoY in Oct 2025
• Mexico Foreign Exchange Reserves was measured at 222.0 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 3.4 Months of Import in Oct 2025
• Mexico Domestic Credit reached 850.5 USD bn in Sep 2025, representing an increased of 6.8 % YoY

In 2022, about 60 percent of Hispanic origin children lived with two married parents in the United States. On the other hand, about 4.3 percent of Hispanic origin children in the country lived with their father only.

About this dataset

Context

The dataset tabulates the median household income in Mexico. It can be utilized to understand the trend in median household income and to analyze the income distribution in Mexico by household type, size, and across various income brackets.

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).

• Mexico, NY Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Mexico, NY: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Mexico, NY
• Mexico, NY households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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 Mexico median household income. You can refer the same here

The graph shows the race and ethnicity of U.S. households in the United States in 2015, by size. In 2015, about 28.3 percent Hispanic households were two-person households.

Mexico MX: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 13.000 % in 2015. This records an increase from the previous number of 9.800 % for 2009. Mexico MX: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 12.100 % from Dec 1987 (Median) to 2015, with 7 observations. The data reached an all-time high of 25.100 % in 1987 and a record low of 9.800 % in 2009. Mexico MX: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average; Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.

U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

Abstract

Microenterprise sectors are a dominant feature in urban areas of low- and middle-income countries. As much as a third of the labor force in these economies is self-employed. Those involved in retail trade—street vendors and owners of small shops and restaurants—are a plurality of small scale enterprises. These vendors earn their living using their own labor and small amounts of capital. They generally lack access to loans from formal financial institutions, relying on their own savings and perhaps informal loans from family members or friends. Surveys indicate that the lack of access to finance is one of their most often mentioned complaints.

This study uses data from the Mexican National Survey of Microenterprises (ENAMIN) to estimate returns to capital. A randomized experiment was designed to generate data which allow a consistent measure of returns to capital in microenterprises. Data was collected from a panel of microenterprises in the city of Leon, in Mexico over a period of five quarters. The baseline survey was carried out in November 2005. After the first through fourth rounds of the survey, treatments were administered in the form of either cash or equipment to randomly selected enterprises in the sample. The treatments generate shocks to capital stock which are random, uncorrelated with either the ability of the enterprise owner or the prospects for the business.

An unbiased estimate of returns to capital has important policy implications in several areas. First, the returns from investment determine the interest rates which borrowers are willing to pay to microlending organizations. Higher returns imply a higher likelihood of developing financially sustainable microlenders. Second, if returns are low below some investment threshold, then these low returns may act as an entry barrier, preventing high ability entrepreneurs without access to capital from entering. If, on the other hand, returns to capital are high at very low levels of investment, then capital-constrained entrepreneurs should be able to enter and grow to a desired size by reinvesting profits earned in the enterprise. In that case, capital constraints will have short term costs, but fewer long term effects on outcomes. High returns at low very low capital stock levels suggest that credit constraints will not lead to poverty traps.

Geographic coverage

Leon, Mexico. Leon is the fifth largest city in Mexico, with a metropolitan area population of approximately 1.4 million. The city is the center of Mexico's shoe and leather industries, and is also home to an active microenterprise sector.

Analysis unit

• Microenterprise

Universe

The research team set out to select a sample of enterprises with less than 100,000 pesos (approximately US$1000) in capital stock, excluding land and buildings. The sample was limited to enterprises engaged in retail trade and owned by males aged 22-55. In order to cover only full-time work, the owners were required to be working 35 hours or more a week in the baseline period.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample frame was based on the 10% public use sample of the 2000 population census for the city of Leon. Data was examined at the level of the smallest geographical unit available in the public sample, the UPM (unidad primaria de muestreo). For each UPM, the research team calculated for males 22-55 years of age the average education level and the percentage self-employed in the retail sector. They also calculated the percentage of households in the UPM with a male household head present. Using these data, 20 UPMS were selected with high rates of retail self employment and modest average levels of education.

The screening survey identified enterprises owned by males 22-55 years of age in the retail sector, operating without paid employees. Enterprises with paid employees are very likely to exceed our upper limit of 100,000 pesos of capital stock, so the lack of paid employees was used as an initial screen for capital stock. Where the screening survey was administered to the owners, we also asked for the value of the capital stock excluding land and buildings, measured at replacement cost.

The sample is limited to males aged 22-55 operating in the retail sector. The average enterprise has been operating for just over five years. Only 20 percent of the enterprises were started within a year of the baseline survey. Almost 20 percent are at least ten years old. Sales average 5,700 pesos per month, and profits 3,486 pesos per month. The median levels of sales and profits are similar, 5,000 and 3,000 pesos per month, respectively. We asked owners for profits before accounting for any compensation for their own time, so the profit levels should be viewed as including the opportunity cost of the time spent in the enterprise by the owner. As a result of this, profits are never reported as being negative.

Mode of data collection

Face-to-face [f2f]

Research instrument

The study employed several questionnaires that are explained below. - Survey screen: the screening questionnaire used to determine eligibility for the study - Survey baseline: the baseline survey of enterprises - Household Survey round 1: the baseline survey of households attached to the enterprise - Round 2, Round 3, Round 4, Round 5 surveys: follow-up surveys of enterprises - Round 5 household survey: follow-up survey of the household - Digit span recall showcard: showcard of digits used for digitspan recall test

The survey instrument was modeled after the Mexican National Survey of Microenterprises (ENAMIN) survey. In the first round, detailed information was gathered on the capital invested in the enterprise, separated into tools, machinery and equipment, vehicles, real estate and buildings, and inventories and finished and unfinished goods. Operational data was also gathered on the firm--revenues, expenses and profits-for the preceding month, and personal information about the owner. In each subsequent survey, firms were asked about changes in capital stock, either purchase of new assets or sales of existing assets, and operational data for another month of the survey.