In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Lafayette. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Lafayette. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Lafayette, householders within the 25 to 44 years age group have the highest median household income at $59,677, followed by those in the 45 to 64 years age group with an income of $40,592. Meanwhile householders within the under 25 years age group report the second lowest median household income of $28,797. Notably, householders within the 65 years and over age group, had the lowest median household income at $26,375.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Lafayette median household income by age. You can refer the same here

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Abstract

The National Institute of Statistics and Geography (INEGI) presents two methodological documents in which the main characteristics of the new construction of the ENIGH 2014 are presented, which coincides with the construction of variables of the Socioeconomic Conditions Module of the ENIGH 2014.

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

Since 1984, when INEGI began to conduct the survey, new methodologies have been developed, international recommendations have been issued and good practices have been documented for the generation of household income and expenditure information through surveys.

During this period, additions have been made to the subject matter, 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, always ensuring historical comparability.

However, when the adoption of the recommendations and good practices implied a break in the comparability of the results, it was preferred to maintain comparability.

Starting in 2008, INEGI decided to publish the results of the ENIGH, whose variables have been constructed and presented in accordance with UN recommendations, specifically, those issued at the 17th International Conference of Labor Statisticians and in the Canberra Group Report. This new construction, moreover, is the one used in the ENIGH's Socioeconomic Conditions Module database, which is the source of information for the multidimensional poverty measurement conducted by the National Council for the Evaluation of Social Development Policy (CONEVAL). For the 2014 ENIGH, INEGI decided to continue presenting these results in order to give continuity to the results presented in 2008.

This survey additionally provides information on the occupational and socio-demographic characteristics of household members, as well as the characteristics of the housing infrastructure and household equipment.

The ENIGH, with the statistics it generates, contributes to the institutional task of providing the public service of statistical information of national interest.

The results of the ENIGH are used for different purposes, among which the following can be mentioned:

• Generation of weightings for the realization of the National Consumer Price Index.
• Construction of indicators for the study of poverty.
• Conformation of the Household Account of Mexico's System of National Accounts.
• Calculation of statistics on living standards.
• Studies of the behavior of the national economy in the field of household economics and comparisons with other countries.

Geographic coverage

National

• Urban area: localities with 2,500 and more inhabitants.
• Rural area: localities with less than 2,500 inhabitants

States

• Tabasco

Analysis unit

Household, housing and household members

Universe

The survey is aimed at households in the national territory.

Kind of data

Probabilistic household survey

Sampling procedure

Sample design

The sample design for ENIGH-2014 is characterized by being probabilistic. Consequently, the results obtained from the survey are generalized to the entire population. At the same time, the design is two-stage, stratified and by clusters, where the ultimate unit of selection is the dwelling and the unit of observation is the household.

Survey framework

The sample design for ENIGH-2014 is characterized by being probabilistic; consequently, the results obtained from the survey are generalized to the entire population. For the selection of the sample, INEGI's 2012 National Housing Framework was used, constructed from the cartographic and demographic information obtained from the 2010 Population and Housing Census. This frame is actually a master sample from which the samples for all housing surveys conducted by INEGI are selected. Its design is probabilistic, stratified, one-stage and by clusters; the latter are also considered primary sampling units, since it is in them where the dwellings that make up the samples of the different surveys are selected in subsequent stages.

Formation of the primary sampling units (PSU)

The primary sampling units are made up of groups of dwellings with different characteristics depending on the area to which they belong, as specified below:

a) In high urban areas

The minimum size of a PSU is 80 inhabited dwellings and the maximum size is 160:

• A block.
• The union of two or more contiguous blocks from the same AGEB.1
• The union of two or more contiguous blocks of different AGEBs of the same locality.
• The union of two or more contiguous blocks of different localities, belonging to the same size of locality.

b) In urban complement

The minimum size of a PSU is 160 inhabited houses and the maximum is 300. formed by:

• A block.
• The union of two or more contiguous blocks of the same AGEB.
• The union of two or more contiguous blocks of different AGEB of the same locality.
• The union of two or more contiguous blocks of different AGEB and localities, but of the same municipality.

c) In rural areas

The minimum size of a PSU is 160 inhabited dwellings and the maximum size is 300:

• An AGEB.
• Part of an AGEB.
• The union of two or more adjoining AGEB of the same municipality.
• The union of an AGEB with a part of another adjoining AGEB of the same municipality.

Stratification

The political division of the country and the conformation of localities differentiated by size naturally form a first geographic stratification.

In each federative entity, three areas are distinguished (high urban, urban complement and rural), divided in turn into seven zones according to the size of the locality, as indicated below:

High urban 01 - 32 self-represented cities (C.A.) with 100,000 inhabitants or more. 02 - Rest of cities with 100,000 or more inhabitants.

Urban complement 25 - With 50 000 to 99 999 inhabitants. 35 - From 15,000 to 49,999 inhabitants. 45 - From 5 000 to 14 999 inhabitants. 55 - From 2 500 to 4 999 inhabitants.

Rural 60 - Localities with less than 2,500 inhabitants.

This stratification considers the socio-demographic characteristics of the inhabitants of the dwellings, as well as their physical characteristics and equipment, expressed by means of 24 indicators constructed with information from the XII General Population and Housing Census 2000, for which multivariate statistical methods were used.

In a second stage, each PSU was assigned according to its geographic stratum (entity-area-zone).

In a third stage, within each zone and stratum (sociodemographic), some of the PSUs were subjected to a new stratification process with the purpose of having a greater differentiation at that level. For this stratification, indicators differentiated by area were used. The result is a total of 888 substrata at the national level.

Sample Size

For the calculation of the sample size of the ENIGH-2014, the average total current income per household was considered as the reference variable and a nationwide sample of 10 062 households was determined.

Sampling deviation

As a result of the sum of the 21,427 selected households and 359 additional households that were found in these dwellings, the total amounted to 21,786 households.

Mode of data collection

Face-to-face [f2f]

Research instrument

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

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

In the other three, individual information is recorded for individuals. Questionnaire for persons 12 years of age or older - Questionnaire for persons under 12 years of age - Questionnaire for household businesses

Cleaning operations

Data capture activities

The capture consisted of transferring the information from the questionnaires that were fully answered to electronic media through IKTAN, in accordance with the procedures established for the capture process of the ENIGH 2014.

On the eighth day of the decade, the Responsible for Capture Validation together with his work team began the capture of the questionnaires collected by each Interviewer, organized by packages of questionnaires of each folio with a complete interview result, following the following established order:

• Package cover (ENIGH-1).
• Household and housing questionnaire.
• Questionnaires for persons under 12 years of age.
• Questionnaires for persons 12 years of age or older.
• Questionnaires for household businesses.
• Questionnaire of household expenses.
• Booklet of daily expenses.

In addition, the IKTAN made it possible to record and know the progress or completion of the workloads.

Validation activities

In parallel to the capture, validation began at the state level, which was carried out in two stages. The first stage consisted of verifying the valid ranges of the folios released for capture, and the second stage consisted of applying the validation criteria in order to purge the files of inconsistencies and omissions before releasing them and sending them to the central office.

Integration and validation of the capture database at central offices

Once the information capture and

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Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

According to the latest figures, the average annual salary in Austria is approximately €49,000. This figure can vary greatly depending on factors such as your profession, experience, and the specific region you are employed in. The median gross monthly salary in Austria is around €3,000, with potential variations in different cities like Vienna and Graz.

In 2024, the average annual full-time earnings for the top ten percent of earners in the United Kingdom was 72,150 British pounds, compared with 22,763 for the bottom ten percent of earners. As of this year, the average annual earnings for all full-time employees was 37,430 pounds, up from 34,963 pounds in the previous year. Strong wage growth continues in 2025 As of February 2025, wages in the UK were growing by approximately 5.9 percent compared with the previous year, with this falling to 5.6 percent if bonus pay is included. When adjusted for inflation, regular pay without bonuses grew by 2.1 percent, with overall pay including bonus pay rising by 1.9 percent. While UK wages have now outpaced inflation for almost two years, there was a long period between 2021 and 2023 when high inflation in the UK was rising faster than wages, one of the leading reasons behind a severe cost of living crisis at the time. UK's gender pay gap falls in 2024 For several years, the difference between average hourly earnings for men and women has been falling, with the UK's gender pay gap dropping to 13.1 percent in 2024, down from 27.5 percent in 1997. When examined by specific industry sectors, however, the discrepancy between male and female earnings can be much starker. In the financial services sector, for example, the gender pay gap was almost 30 percent, with professional, scientific and technical professions also having a relatively high gender pay gap rate of 20 percent.

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