Abstract

In the implementation of the Party and State policy “Doi moi”, the General Statistical Office (GSO) has conducted many household living standards survey to collect information on the living standards of all social societies to serve policy-making and socio-economic development planning.

From 2002 to 2010, VHLSS are to be conducted (in every two- year) to monitor systematically the living standard of Vietnam's societies and at the same time, to exercise the monitoring and assessment of the implementation of the Comprehensive Poverty Alleviation and Growth Strategy defined in Country Strategy Paper approved by the Government Prime Minister. In addition, these surveys also serve the evaluation of realization of the Millennium Development Goals (MDGs) and the Socio-economic Development Goals set out by Vietnamese Government.

The 2002 VHLSS included all the keynote contents reflecting the living standards of the population and the basic socio-economic condition of communes/wards that might affect the living standards of the local people. As regards households, it collected data in relation to demographic characteristics of the household members, the education background, professional/ technical level of each member, income, expenditures, use of medical facilities of all kinds, employment, housing and amenity as possession, personal effects, utilities (power and water supply), sanitation and participation in the poverty alleviation programme.

As regards communes/wards, it collected a wide rage of information related to demography, nationality, infrastructure, farming, production promotion conditions, non-farming activity and law and order.

Household questionnaires and communes/wards questionnaires of the 2002 VHLSS were designed more scientifically to ensure feasibility. They had been, in fact, piloted in Bac Ninh, Binh Dinh and Dong Nai provinces prior to the actual survey.

Survey sample were selected, based on the Population and Housing Census 1999. The sample size included 75.000 households representative of the whole country, urban and rural area and 61 provinces. Survey samples were sub-divided into 4 minor samples for the quarterly surveys in 2002 for more thorough data collection in anticipation of the harvests that might somehow get in the way. To provide information on assessment of the living standards in 2001-2002, GSO developed and released the detailed results of the 2002 VHLSS, including relevant statistics and initial analysis. Expenditure related data were synthesized from samples of 30.000 households; others, from samples of 45.000 households.

To bring out the changes in the living standards, the 2002 VHLSS results were compared with the results obtained from other living standards surveys, e.g. the 1992-1993 living standards survey (1993 VLSS), the 1993 rich-poor status survey (1993 RPSS), the 1997-1998 living standards surveys (1998 VLSS), the Multipurpose household surveys throughout 1994 to 1997 and 1999 (MHPS)

The data on demography, labor, and employment ect… were collected from the 2002 VHLSS, not replace all the data already released from the surveys conducted in this area, but to shed more light on and make more on insightful analyses of the factors affecting the living standards.

Geographic coverage

National

Analysis unit

• Household
• Individual
• Community
• Consumption expenditure item/product

Kind of data

Sample survey data [ssd]

Sampling procedure

Vietnam household living standard survey 2002 was selected, based on the Population and Housing Census 1999. The sample size included 75.000 households representative of the whole country, urban and rural area and 61 provinces. Survey samples were sub-divided into 4 minor samples for the quarterly surveys in 2002 for more thorough data collection in anticipation of the harvests that might somehow get in the way.

Survey sample were designed by 2 samples: one big sample (45,000 households) which mostly concentrated on income of households to assess living standard for national, regional and provincial levels ; one smaller sample (30,000 households) with both information about income and expenditure to evaluate intensive living standard at central and provincial levels. Following are detail contents :

• Implementing survey in 2002 with income and expenditure questionnaire of 30,000 household sample (Income and expenditure survey). This sample was divided into 4 smaller ones, with 7,500 households of each which conducted in first month of four quarters in 2002 respectively. The 30,000 household sample showed estimations at national and regional levels for 2001-2002.

• In the first six months of 2002, survey was implemented on all sections, except for expenditure section (in Income and expenditure survey) for 45,000 household sample (Income survey). This sample was divided into 2 small samples with 22,500 households of each and conducted in quarter I, II/2002 respectively. Survey of 45,000 household sample combined with 15,000 households of Income and expenditure survey (30,000 household sample) which conducted in the first month in quarter I, II/2002 to establish one 60,000 household sample that showed estimations for national, regional and provincial levels for 2001.

The detail is shown as following:

Collecting data perriod Income and expenditure survey Income survey Total Total 30,000 45,000 75,000

Divided into : QI/2002 7,500 22,500 30,000 QII/2002 7,500 22,500 30,000 QIII/2002 7,500 7,500 QIV/2002 7,500 7,500

Mode of data collection

Face-to-face [f2f]

Research instrument

VLSS 2002 used 3 questionnaires: - Short household questionnaire (excluded most of consumption expenditure information) - Long household questionnaire (including detail consumption expenditure information) - Commune questionnaire

The household questionnaire contains 9 sections each of which covered a separate aspects of household activity. Here are sections: 1. Household Roster 2. Education 3. Employment 4. Health 5. Income and Household Production 6. Expenditure (collected only for long questionnaire) 7. Durable Good and Asset 8. Housing 9. Participation in Poverty Reduction Programs

The commune questionnaire includes 9 sections and was administered by the team leader and completed with the help of village chiefs, teachers, government officials and health care workers. The questionnaire was administered in both rural and urban areas but some section was only collected in rural area such as non-farm employment opportunities and infrastructure and transportation. Here are commune questionnaire sections: 0. Survey Information 1. Main Characteristics of The Commune/ Ward 2. General Economic Conditions and Aid Programs 3. Non-Farm Employment Opportunities 4. Agriculture 5. Physical Infrastructure and Transportation 6. Education 7. Health 8. Public Disorder and Other Social Affairs

Abstract

The General Director, the General Statistics Office (GSO), issued Decision Number 308/QD-TCTK dated 5nd April 2006 on Conducting the Vietnam Household Living Standards Survey in 2006 (VHLSS 2006) in order to collect necessary information for monitoring, supervising and evaluating the implementation of the “Comprehensive Strategy for Growth and Poverty Alleviation” approved by the Government Prime Minister. The survey was conducted nation-wide, involving a sample scale of 45,945 households (36,756 households for income survey, 9,189 households for income and expenditure survey) in 3,063 communes/wards, representative for whole country, 8 regions, urban/ rural area and provinces. Organizationally, the survey was conducted to collect information in 2 rounds, 2006 and by direct interviews with headed households and key commune officials.

Geographic coverage

The VHLSS 2006 was conducted nation-wide, involving a sample scale of 45,945 households (36,756 households for income survey, 9,189 households for income and expenditure survey) in 3,063 communes/wards, representative for whole country, 8 regions, urban/ rural area and provinces.

Analysis unit

• Households
• Individuals
• Communes

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

Survey sample was selected, based on the Population and Housing Census 1999. The sample size included 45,900 households representative of the whole country, urban and rural area and 64 provinces. Survey sample was divided into 2 types: 36,720 households would be surveyed on income and 9,180 households would be surveyed on income and expenditures. The survey sample was sub-divided into 2 minor samples for data collection in 2 stages: the first in May 2006 and the second in September 2006.

Mode of data collection

Face-to-face [f2f]

Research instrument

1. Income and Expenditure questionnaire
2. Income questionnaire
3. Commune questionnaire

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of Stata data files Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.

Abstract

The VHLSS 2010 was conducted nationwide with a sample size of 69,360 households in 3,133 communes/wards which were representative at national, regional, urban, rural and provincial levels. The survey collected information during four periods, each period in one quarter from the second quarter to the forth quarter in 2010 and one period in the first quarter of 2011 through face-to-face interviews conducted by interviewers with household heads and key commune officials in communes containing sample enumeration areas. The survey collected information to be a base for assessment of living standard, poverty and the gap between the rich and the poor serving for policy making, planning and national targeted programs of the party and the State in order to continuously improve the living standard of citizen across the country, in all regions and localities.

Geographic coverage

Whole country

Analysis unit

• Households
• Individuals
• Consumption expenditure item/ product

Universe

The survey is respresentative at national, urban, rural and provincial levels.

Kind of data

Sample survey data [ssd]

Sampling procedure

The VHLSS 2010 was conducted nationwide with a sample size of 69,360 households in 3,133 communes/wards which were representative at national, regional, urban, rural and provincial levels. Indicators belonging to other areas of specialty are compiled from the VHLSS 2010 data for clarification and in-depth analysis of factors impacting on living standards, so results on these indicators should not be used in place of published data on these subject matters. Average household size in 2010 was 3.89 persons overall with a gradual decline seen over time (it was 4.44 persons in 2002, 4.36 persons in 2004, 4.24 persons in 2006 and 4.12 in 2008). This trend was seen in both urban and rural areas, in all regions and for different income quintiles. Average household size was higher in rural areas than in urban areas, higher among poor households than among better off households and higher in mountainous areas than in delta nregions. According to the VHLSS 2010, the average household size in rural areas was 3.92 persons, 1.03 times higher than that in urban areas and it was approximately the same as in 2008 (this figure in 2008 was 1.02 times higher). Average household size of the poorest households (quintile 1) was 4.18 people, 1.2 times higher than of the richest households (quintile 5). Household size in the Northern midlands and mountain areas and the Central Highlands is higher than in other regions.

Sampling deviation

There are three stage stratified cluster design. The sample of the VHLSS is selected in the way to represent the entire country (in which: urban/rural areas), 8 regions (in which: urban/rural areas), and proviences/cities. According to the Master Sample, there are two stage area sample from enumeration areas of the 1999 Population and Housing Census. There are also in the technical document, informations about the PSU (Primary Sampling Unit), SSU (Secondary Sampling Unit), Sample Allocation and Sample Size.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire contains 11 sections:

Section 1. Some basic demographic characteristics related to living standards Section 2. Education Section 3. Labour - Employment Section 4. Health and health care Section 5. Income Section 6. Consumption expenditure Section 7. Durable goods Section 8. Housing, electricity, water, sanitation facilities and use of Internet Section 9. Participation in poverty reduction programs Section 10. Business production activities Section 11. Commune general characteristics

Cleaning operations

Data editing took place at a number of stages throughout the processing, including:

a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of Stata data files Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.

The US Family Budget Dataset provides insights into the cost of living in different US counties based on the Family Budget Calculator by the Economic Policy Institute (EPI).

This dataset offers community-specific estimates for ten family types, including one or two adults with zero to four children, in all 1877 counties and metro areas across the United States.

Interesting Task Ideas:

1. See how family budgets compare to the federal poverty line and the Supplemental Poverty Measure in different counties.
2. Look into the money challenges faced by different types of families using the budgets provided.
3. Find out which counties have the most affordable places to live, food, transportation, healthcare, childcare, and other things people need.
4. Explore how the average income of families relates to the overall cost of living in different counties.
5. Investigate how family size affects the estimated budget and find counties where bigger families have higher costs.
6. Create visuals showing how the cost of living varies across different states and big cities.
7. Check whether specific counties are affordable for families of different sizes and types.
8. Use the dataset to compare living standards and economic security in different US counties.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

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The average American household consisted of 2.51 people in 2023.

Households in the U.S.

As shown in the statistic, the number of people per household has decreased over the past decades.

The U.S. Census Bureau defines a household as follows: “a household includes all the persons who occupy a housing unit as their usual place of residence. 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 and eat separately from any other persons in the building and which have direct access from outside 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 persons who share living arrangements. (People not living in households are classified as living in group quarters.).”

The population of the United States has been growing steadily for decades. Since 1960, the number of households more than doubled from 53 million to over 131 million households in 2023.

Most of these households, about 34 percent, are two-person households. The distribution of U.S. households has changed over the years though. The percentage of single-person households has been on the rise since 1970 and made up the second largest proportion of households in the U.S. in 2022, at 28.88 percent.

In concordance with the rise of single-person households, the percentage of family households with own children living in the household has declined since 1970 from 56 percent to 40.26 percent in 2022.

Abstract

The Household Living Conditions Survey has been carried out annually since 1999 by the State Statistics Service of Ukraine (formerly the State Statistics Committee of Ukraine). The survey is based on generally accepted international standards and depicts social and demographic situation in Ukraine.

From 2002, items of consumer money and aggregate expenditures have been developed in line with the International Classification of Individual Consumption of Goods and Services (COICOP-HBS), recommended by Eurostat.

The State Statistics Service of Ukraine has been implementing a new system of household sample survey organization and delivery from 2004. A unified interviewer network was established to run simultaneously three household surveys: Household Living Conditions Survey, households' economic activity survey and the survey of household farming in rural areas. A new national territorial probability sampling was introduced to deliver the three sampling surveys in 2004-2008.

Geographic coverage

National, except some settlements within the territories suffered from the Chernobyl disaster.

Analysis unit

• Households,
• Individuals.

A household is a totality of persons who jointly live in the same residential facilities of part of those, satisfy all their essential needs, jointly keep the house, pool and spend all their money or portion of it. These persons may be relatives by blood, relatives by law or both, or have no kinship relations. A household may consist of one person (Law of Ukraine "On Ukraine National Census of Population," Article 1). As only 0.50% households have members with no kinship relations (0.65% total households if bachelors are excluded), the contemporary concepts "household" and "family" are very close.

Universe

Whole country, all private households. The survey does not cover collective households, foreigners temporarily living in Ukraine as well as the homeless.

Kind of data

Sample survey data [ssd]

Sampling procedure

12,977 households representing all regions of Ukraine (including 8,975 in urban areas and 4,002 in rural areas) are selected for this survey. Grossing up sample survey results to all households of Ukraine is done by the statistic weighting method.

Building a territorial sample, researchers excluded settlements located in the excluded zone (Zone 1) and unconditional (forced) resettlement zone (Zone 2) within the territories suffered from the Chernobyl disaster.

Computing the number of population subject to surveying, from the number of resident population researchers excluded institutional population - army conscripts, persons in places of confinement, residents of boarding schools and nursing homes, - and marginal population (homeless, etc).

The parent population was stratified so that the sample could adequately represent basic specifics of the administrative and territorial division and ensure more homogeneous household populations. To achieve this objective, the parent population was divided into strata against the regions of Ukraine. In each stratum three smaller substrata were formed: urban settlements (city councils) having 100,000 or more inhabitants (big cities), urban settlements (city councils) having less than 100,000 inhabitants (small towns) and all districts (except city districts), i.e. administrative districts in rural areas. Sample size was distributed among strata and substrata in proportion to their non-institutional resident population.

Detailed information about selecting primary territorial units of sampling (PTUS) and households is available in the document "Household Living Conditions Survey Methodological Comments" (p. 4-7).

Mode of data collection

Face-to-face [f2f]

Research instrument

The HLCS uses the following survey tools:

1) Main interviews

Main interview questionnaires collect general data on households, such as household composition, housing facilities, availability and use of land plots, cattle and poultry, characteristics of household members: anthropometric data, education, employment status. Interviewing of households takes place at the survey commencement stage. In addition, while interviewing, the interviewer completes a household composition check card to trace any changes during the entire survey period.

2) Observation of household expenditures and incomes

For the observation, two tools are used: - Weekly diary of current expenditures. It is completed directly by a household twice a quarter. In the diary respondents (households) record all daily expenditures in details (e.g. for purchased foodstuffs - product description, its weight and value, and place of purchase). In addition, a household puts into the diary information on consumption of products produced in private subsidiary farming or received as a gift.

Households are evenly distributed among rotation groups, who complete diaries in different week days of every quarter. Assuming that the two weeks data are intrinsic for the entire quarter, the single time period of data processing (quarter) is formed by means of multiplying diary data by ratio 6.5 (number of weeks in a quarter divided on the number of weeks when diary records were made). Inclusion of foodstuffs for long-time consumption is done based on quarterly interview data.

• Quarterly questionnaire. It is used to interview households in the first month following the reporting quarter. Researchers collect data on large and irregular expenditures, in particular those relating to the purchase of foodstuffs for long-time consumption (e.g. sacks, etc.), and also data on household incomes. Since recalling all incomes and expenditures made in a quarter is uneasy, households make records during a quarter in a special quarterly expenditures log.

The major areas for quarterly observation are the following: - structure of consumer financial expenditures for goods and services; - structure of other expenditures (material aid to other households, expenditures for private subsidiary farming, purchase of real estate, construction and major repair of housing facilities and outbuildings, accumulating savings, etc); - importance of private subsidiary farming for household welfare level (receipt and use of products from private subsidiary farming for own consumption, financial income from sales of such products, etc.); - structure of income and other financial sources of a household. We separately study the income of every individual household member (remuneration of labor, pension, scholarship, welfare, etc.) and the income in form payments to a household as a whole (subsidies for children, aid of relatives and other persons, income from - sales of real estate and property, housing and utility subsidies, use of savings, etc.).

3) Single-time topical interviews

Single-time topical interviews questionnaires are used quarterly and cover the following topics: - household expenditures for construction and repair of housing facilities and outbuilding - availability of durable goods in a household - assessment by households members of own health and accessibility of selected medical services - self-assessment by a household of adequacy of its income - household's access to Internet

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_2c7355a6a13ffe768f1b725f7905b5f1/view

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Live Oak, FL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 14,314, while the mean income for the highest quintile (20% of households with the highest income) is 137,866. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 212,406, which is 154.07% higher compared to the highest quintile, and 1483.90% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Live Oak median household income. You can refer the same here

Data on census family status and household living arrangements, household type of person, age group and gender for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021, 2016 and 2011 censuses.

In 2024, approximately **** percent of Indonesian households lived in rented housing units. Among the other provinces in Indonesia, Jakarta had the highest proportion of households living in rental housing.

Abstract

The VHLSS 2008 was conducted nation-wide with a sample size of 45,945 households (36,756 households in the income survey and 9,189 households surveyed on both income and expenditure) in 3,063 communes/wards which were representative at national, regional, urban, rural and provincial levels. The survey collected information during two periods in 2008 through face-to-face interviews conducted by interviewers with household heads and key commune officials in communes containing sample enumeration areas.

Indicators belonging to other areas of specialty are compiled from the VHLSS data for clarification and in-depth analysis of factors impacting on living standards, so results on these indicators should not be used in place of published data on these subject matters

Geographic coverage

Whole country

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

A sample size of 45,945 households (36,756 households in the income survey and 9,189 households surveyed on both income and expenditure) in 3,063 communes/wards which were representative at national, regional, urban, rural and provincial levels.

Mode of data collection

Face-to-face [f2f]

This map compares the number of households living above the poverty line to the number of households living below. In the U.S. overall, there are 6.2 households living above the poverty line for every 1 household living below. Green areas on the map have a higher than normal number of households living above compared to below poverty. Orange areas on the map have a higher than normal number of households living below the poverty line compared to those above in that same area.In this map you see the ratio of households living above the poverty line to households living below the poverty line. For the U.S. overall, there are 6.2 households living above the poverty line for every household living below. This map is shaded to clearly show which areas have about the same ratio as the U.S. overall, and which areas have far more families living above poverty or far more families living below poverty than "normal.""The poverty rate is one of several socioeconomic indicators used by policy makers to evaluate economic conditions. It measures the percentage of people whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs." Source: U.S. Census BureauThe map shows the ratio for states, counties, tracts and block groups, using data from the U.S. Census Bureau's American Community Survey (ACS) for 2013 for the previous 12 months. -------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

Abstract

Niger is part of the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) program. This program has developed a household level survey with a view to enhancing our knowledge of agriculture in Sub-Saharan Africa, in particular, its role in poverty reduction and the techniques for promoting efficiency and innovation in this sector. To achieve this objective, an innovative model for agricultural data collection in this region will need to be developed and implemented. To this end, activities conducted in the future will be supported by four main pillars - a multisectoral framework, institutional integration, analytical capacity building, and active dissemination.

• First, agricultural statistical data collection must be part of an expanded and multisectoral framework that goes beyond the rural area. This will facilitate generation of the data needed to formulate effective agricultural policies throughout Niger and in the broader framework of the rural economy.

• Second, agricultural statistical data collection must be supported by a well-adapted institutional framework suited to fostering collaboration and the integration of data sources. By supporting a multi-pronged approach to data collection, this project seeks to foster intersectoral collaboration and overcome a number of the current institutional constraints.

• Third, national capacity building needs to be strengthened in order to enhance the reliability of the data produced and strengthen the link between the producers and users of data. This entails having the capacity to analyze data and to produce appropriate public data sets in a timely manner. The lack of analytical expertise in developing countries perpetuates weak demand for statistical data.

• Consequently, the foregoing has a negative impact on the quality and availability of policy-related analyses. Scant dissemination of statistics and available results has compounded this problem.

In all countries where the LSMS-ISA project will be executed, the process envisioned for data collection will be a national household survey, based on models of LSMS surveys to be conducted every three years for a panel of households. The sampling method to be adopted should ensure the quality of the data, taking into account the depth/complexity of the questionnaire and panel size, while ensuring that samples are representative.

The main objectives of the ECVM/A are to:

• Gauge the progress made with achievement of the Millennium Development Goals (MDGs);

• Facilitate the updating of the social indicators used in formulating the policies aimed at improving the living conditions of the population;

• Provide data related to several areas that are important to Niger without conducting specific surveys on individual topics ;

• Provide data on several important areas for Niger that are not necessarily collected in other more specific surveys.

Geographic coverage

The ECVM/A 2014 is a panel survey with the ECVM/A 2011. The ECVM/A 2011 was designed to have national coverage, including both urban and rural areas in all the regions of the country. The domains are defined as the entire country, the city of Niamey; and other urban areas, rural areas, and in the rural areas, agricultural zones, agro-pastoral zones and pastoral zones.

Analysis unit

• Individuals

• Households

Kind of data

Sample survey data [ssd]

Sampling procedure

2011 Survey

The ECVM/A 2011 was been designed to have national coverage, including both urban and rural areas in all the regions of the country. The domains are defined as the entire country, the city of Niamey; and other urban areas, rural areas, and in the rural areas, agricultural zones, agro-pastoral zones and pastoral zones. Taking this into account, 26 explicit sampling strata were selected: Niamey, and urban, agriculture, agro-pastoral and pastoral zones of the seven regions other than Niamey. The target population was drawn from households in all 8 regions of the country with the exception of certain strata found in Arlit (Agadez Region) because of difficulties in going there, the very low population density, and collective housing. The portion of the population excluded from the sample represents less than 0.4% of the total population of Niger. Of a total of 36,000 people not included in the sample design, about 29,000 live in Arlit and 7,000 in collective housing.

The sample was chosen through a random two stage process:

• In the first stage a certain number of Enumeration Areas (known as Zones de Dénombrement or ZDs) was selected with Probability Proportional to Size (PPS) using the 2001 General Census of Population and Housing as the base for the sample, and the number of households as a measure of size.

• In the second stage, 12 or 18 households were selected with equal probability in each urban or rural ZD respectively. The base for the sample was an exhaustive listing of households that would be done before the start of the survey.

The total estimated size of the 2011 sample was 4,074 households. The fact that this was the first survey with panel households to be revisited in the future was taken into account in the design, making it possible to lose households between the two surveys with minimal adverse effects on the analyses.

2014 Survey

The ECVM/A 2014 is a panel survey with the ECVM/A 2011. All households are identified by three variables - GRAPPE, MENAGE and EXTENSION. GRAPPE is the cluster in which the household is located and MENAGE is the household number within that cluster. The GRAPPE and MENAGE identifiers of the households in 2014 are identical with the grappe and menage identifiers in 2011.

In the ECVM/A 2014, all households that had been interviewed in 2011 were tracked. Households that did not move were interviewed in their existing location. Households that had moved to other locations in Niger were followed and interviewed in their new locations if they could be found in the new location. Households that moved outside of Niger were not followed. Households are identified by the GRAPPE and MENAGE identifiers from 2011 even if they moved to a new location.

Individuals who moved from households, for example women who married and moved to their husband's household or men who moved out to form their own household, were also tracked. In the new location, the individual and all members in the new household were supposed to be interviewed. However in the final data set it is difficult to determine among the households of tracked individuals which one was in the original household and which are the new participants in the survey. While the GRAPPE and MENAGE are identical between the 2011 household and the movers from the 2014 survey, the individual identifiers within the household cannot be matched for these households.

Households that did not move are identified as code "0" in the variable EXTENSION. Households that moved as an entire household are identified as code "1" in variable EXTENSION. Households with an individual who moved from an original household and resided in a new household in 2014 are identified as code "2" in variable EXTENSION.

Within households, individuals should have the same identification numbers as they had in 2011. The variable MS01Q00 in the 2014 data contains the individual identification number within the household. In 2011, the variable is ms01q00. The identification numbers for members who left the household between 2011 and 2014 should not be found in the 2014 data. Their identification numbers should not have been reassigned to any other members. New members who joined the household after the 2011 survey will have identification numbers starting after the highest identification number found in the 2011 data. It is always possible that there were mistakes made in the identification of individuals in the households and the data may not be perfectly matched.

The households that moved maintain the GRAPPE (cluster) and MENAGE (household within the cluster) identification information from 2011 so that they can be matched back to information from the 2011 survey. They may have moved to a different region in the country, but are identified with their original location.

Mode of data collection

Face-to-face [f2f]

Research instrument

HOUSEHOLD QUESTIONNAIRES - FIRST VISIT

The ECVM/A involves two visits, which means that each household is visited twice. The first visit takes place during the planting season. The second visit takes place during the harvest season. The household and agriculture/livestock, as well as the community/price questionnaire are administered during the first visit. During the second visit, the household and agriculture/livestock questionnaires are administered in full, but the community questionnaire only collects price information.

The household questionnaire comprises 18 sections, not including the cover page which covers information of a general nature (identity, name of household head) and Section 0 which covers detailed information on household identification and the results of the survey. In the first visit, 16 of the sections were administered.

• Section 1 focuses on the socio-demographic characteristics of household members (gender, age, relations with household head, survival of relations);

• Sections 2 and 3 focus respectively on the education and health of household members;

• Section 4 focuses on the characteristics of the labor market and seeks to determine whether the subject is inactive (retirees, for example), unemployed or employed; and in the case of those in employment, to identify the characteristics of their employment (socio-professional category, seniority, working hours,

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_43e23f6c3dd58c348869bfd732b2e939/view

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Live Oak: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 502(7.50%) households where the householder is under 25 years old, 2,780(41.55%) households with a householder aged between 25 and 44 years, 2,096(31.33%) households with a householder aged between 45 and 64 years, and 1,313(19.62%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Live Oak, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS - TUNISIA (INS)

The National Survey on Household Budget, Consumption, and Standard of Living, 2005 is a quinquennial survey. It is the eighth survey of its kind that was carried out by the National Institute of Statistics (INS) in Tunisia. The seven previous surveys were conducted in 1968, 1975, 1980, 1985, 1990, 1995 and 2000, concurrently with the preparatory work for the Tunisian development plans. The 2005 survey was conducted as part of the preparation work for the Tenth Development Plan (2007-2011). Its expected findings would allow assessing the progress made in the improvements of the living level & conditions of the population.

The survey aims at providing detailed information on the procurement of goods and services for consumption (food consumption as well as household access to community services of health and education). And its data was collected from direct observation of household consumption to allow for having the necessary elements to assess the situation & changes in the living standards & conditions of the households.

Thus, the 2005 survey tackles three major areas of study: 1 - Household expenditure and acquisitions during the survey period 2 - Food consumption and nutritional status of households. 3 - Household access to community services of health and education.

The objectives of the survey are: a- Identifying levels of expenditure on the household level: The survey aims to assess the levels of household expenditure .The total expenditure of the household, is not only an indicator of income, but it is also a quantitative assessment of the standard of living index.

b- Income distribution: Due to the absence of data on income distribution, the mass distribution of expenditure between the different categories of the population constitutes a first outline for the income distribution in the country.

c- Investigating the structure of expenditure: Detailed information collected on expenditures per product used to establish the structures of the household expenditure as well as the budget coefficients according to different levels of classifications of goods in the nomenclature of goods and services. These factors coefficients are particularly useful for revision and development of the weights of the Consumer Prices Index (CPI). It should also be noted that the change in expenditure structure is an indicator of the evolution of living standards.

d- Analysis of household demand: Household behavior in terms of product demand is synthesized by the coefficients of income elasticity which, according to the model of consumption retained and under the assumptions of the growth of income and population, allows predicting future household demand.

e- Resources-use balance in the national accounts: The results related to the consumption by product are necessary elements for the development of balanced resource-use of products in the frame of national accounts.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

Covering a sample of all urban, small and medium towns and rural areas.

Analysis unit

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

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS - TUNISIA (INS)

Sampling method

The National Survey on Household Budget, Consumption and Standard of Living, 2005 has focused initially on a sample of 13,392 households representing 0.61% of total households in the country (61 surveyed household for every 10,000 household) . This sample is distributed across 1116 districts covering all the country governorates, cities, urban and rural areas. The sample was also equally divided on the months of the survey year to take the seasonal changes in household expenditure into account.

These households were drawn using a two stages stratified random sampling in each governorate. The sampling frame follows that of the general Census of Population and Housing in 2004.

Stratification criteria: The sampling frame is stratified by two geographical criteria: namely the governorate and the living area. The latter is stratified as follows: large municipalities, medium and small towns, major cities and the rest of the non-municipal areas. These stratification criteria (governorate, habitat and size of municipalities) represent the differentiation variable of lifestyles households. Strata used are as follows:

Stratum of large cities (stratum 1): the municipalities of the city of Tunis and its suburbs, the city of Bizerte and its suburbs, the city of Sousse and its suburbs, the city of Kairouan and its suburbs, the city Sfax and its suburbs, and the general Gabes. Thus, this stratum is formed of large urban centers corresponding to municipalities with more than 100.000 inhabitants and neighboring municipalities.

Stratum of other cities (stratum 2): This is all small and medium sized cities other than those classified in the stratum of large cities.

Stratum of the main cities (stratum 3): These are non-municipal urban areas classified as major cities during the general census of population and housing 2004 (with a population of more than 70 households).a city is considered a main city if the number of its inhabitants exceeds 400 during the census of 2004.

Stratum dispersed outside communes (stratum 4): These are areas of land located outside the main towns and cities. Households in these areas live in houses scattered or grouped in small towns.

This strata classification is closely related to the levels of household income and lifestyle.

Survey type:

The sampling frame is divided on the level of each governorate according to strata previously defined. It was set, at the level of each stratum, to make a two-stage random sampling for the selection of the household survey sample. This drawing process allows to breakdown the sample into clusters of 12 households relatively little distant from each other, thereby facilitating the conduct of the survey at the time of the information collection in the field

In the first stage: a sample of primary units is drawn in proportion to their size in number of households as they were identified. Taking into consideration that the primary units correspond to the districts that have been defined in the census of the population and these geographic areas contain on average 70 households.

In the second stage: in each sampled district, 12 households are selected according to the following method: The households in each sampled district are classified primarily according to the number of employed persons in the household. Within each category of classified households, households are also classified according to the number of persons in each household. A systematic sampling is then performed to select 12 sampled households per primary unit (sampled district). For each sampled district, another 12 households are drawn according to the same previously illustrated criteria. These households serve as a substitutive sample so that in case the interviewer failed to get in contact with the originally selected household (due to long absence- change of place of residence) , after coordinating with the supervisor, this household can be replaced by one from the substitutive sample. For this purpose, two lists of the names of head of households were developed (original list, substitutive list) that the survey is supposed to cover.

Distribution of districts and households sampled by governorates

From 2002 to 2010, the GSO plans to conduct the Vietnam Household Living Standards Survey every 2 years (in the years ending with even numbers) in order to monitor systematically living standards of Vietnam population's classes and at the same time, to monitor and assess the implementation of the Comprehensive Poverty Alleviation and Growth Strategy defined in the Country Strategy Paper approved by the Government Prime Minister. In addition, this survey also contributes to the evaluation of results of realization of the Millennium Development Goals (MDG) and Socio-Economic Development Goals set out by Vietnamese Government. The VHLSS 2004 includes topics which reflect the population's living standards: demographic characteristics, education background, professional/ technical level, income, expenditures, use of health services, employment status, housing, amenity as possession, property, goods, electricity, water and sanitation conditions. In addition, this survey includes two new topics: “Agricultural, forestry and fishery land” and “Non-agricultural, forestry and fishery sectors” for more in-depth analysis. Technical assistance was provided by experts of the UN Statistics Division and the World Bank in designing questionnaires for the 2 new contents and sampling.

In 2024, approximately eight percent of Indonesian urban households lived in rented housing units, showing a significantly higher rate compared to households in rural areas. Among the other provinces in Indonesia, Jakarta had the highest proportion of households living in rental housing.

Abstract

The EICV4 survey (Enquête Intégrale sur les Conditions de Vie des ménages) was conducted over a 12-month cycle from October 2013 to October 2014. Data collection was divided into 10 cycles in order to represent seasonality in the income and consumption data. A main cross-sectional sample survey, a panel survey and a VUP sample survey were conducted simultaneously.

The EICV4 provides information on poverty and living conditions in Rwanda and measures changes over time as part of the on-going monitoring of the Poverty Reduction Strategy and other Government policies. The survey data are also very important for national accounts and updating the consumer price index (CPI).

Geographic coverage

National coverage.

Analysis unit

Households

Universe

All household members (variable s1q15 identifies household membership).

Kind of data

Sample survey data [ssd]

Sampling procedure

The EICV4 cross sectional (CS) sample includes two independent subsets selected using different sampling frames: 1) A new EICV4 sample of households in enumeration areas (EAs) selected using the 2012 Rwanda Population and Housing Census frame and 2) a panel of households selected from 177 EICV3 villages. A new listing of households was conducted in both the panel and new sample clusters in order to update the frame for the CS Survey. The sample households in the new CS sample EAs were selected from the new listing.

1) The new EICV4 sample The main sampling frame for the EICV4 is based on the 2012 Rwanda Census. The primary sampling units (PSUs) are the 2012 census Enumeration Areas (EAs). In the Census, each EA was classified as urban, semi-urban, peri-urban or rural. The urban areas include Kigali-Ville and the district capitals. The semi-urban areas generally correspond to smaller towns that have service facilities and markets. The peri-urban areas currently have the characteristics of rural areas, but they are located on the periphery of urban areas and are designated for future development. For the EICV4 sampling frame, the semi-urban areas were grouped with the urban strata, and the peri-urban areas with the rural strata. This results in a final distribution of 17.2% urban households and 82.8% rural households in the sampling frame. EAs in the 177 EICV3 sample villages selected for the panel study were excluded from the sampling frame, in order to avoid any overlap between the two samples.

The new EICV4 sample of 12,312 households was selected using a stratified two-stage design. At the first stage, sample EAs were selected within each stratum (district) with probability proportional to size (PPS) from the ordered list of EAs in the sampling frame. The EAs are implicitly stratified by urban and rural strata within each district, ordered first by urban, semi-urban, peri-urban and rural areas, and then geographically by sector, cellule, village and EA codes. This first stage sampling procedure provides a proportional allocation of the sample to the urban and rural areas of each district. At the second stage, households in each sample EA are selected from the listing. For the three districts in Kigali Province, 9 households were selected in each sample EA as original households; for the remaining 27 districts, 12 households were selected in each sample EA as original households. In addition, a reserve sample of 3 replacement households were selected for each sample EA in Kigali Province and 4 replacement households for each sample EA in the remaining provinces.

This new EICV4 sample contains 12,312 households, including 12,233 original households and 79 replacement households.

2) Households from 177 EICV3 villages used for panel study The second component of the EICV4 cross sectional sample consists of all the sample households interviewed inside the 177 EICV3 villages selected for the panel study (including any replacements households and panel split households inside the clusters).

Within each of the 177 villages, all households that were interviewed during EICV3 were included in the cross-sectional sample. When an EICV3 sample household moved and a new household occupied the same house in the cluster, it was interviewed for the Cross-Sectional Survey, and assigned a PID (dependency) code of 94. If an EICV3 household was empty or not found, a random replacement household was selected for the EICV4 Cross-Sectional Survey from the new listing of the sample cluster, and assigned a PID code of 95. The sample households with PID codes 94 and 95 are only used for the cross-sectional study, not the panel study.

This second component of the cross-sectional sample includes 2108 households drawn from the 177 EICV3 villages sampled for the panel study. These include 1604 original EICV3 households, 181 dependent household splitting from the original household in the same cluster, along with 243 households living in the dwelling formerly occupied by a panel household and 80 replacement households in the cluster in order to have 9/12 households per cluster.

The reason why we combine the EICV4 data from the new and panel clusters for the CS analysis is to obtain the most accurate CS estimates. In the case of the CS estimates from the combined samples, the additional data from the 177 sample panel clusters will result in a significant reduction in the variance component of the MSE. Although the bias of the CS data from the sample panel clusters may slightly increase the bias component, this bias is very small compared to the corresponding reduction in the variance component. Therefore the CS results from the EICV4 data for the combined new and panel clusters can be considered more accurate than the corresponding results using only the EICV4 data for the new sample clusters.

In total, the final EICV4 cross-sectional sample contains 14,419 households.

3) Assignment of EAs to cycles and sub-cycles Data collection covering a period of 12 month is divided into 10 cycles to represent seasonality in consumption, income, employment and agricultural activity patterns. For rural enumeration, each cycle is further divided into two sub-cycles. For the 177 EICV3 villages, the cycle and sub-cycle were pre-determined. Households were re-interviewed in the same cycle, correponding to the same time of the year as they were in EICV3. To assign cycles to the new EICV4 sample EAs, random cycle numbers from 1 to 10 were generated to identify the selection sequence. For the 27 districts outside Kigali, sub-cycle numbers of 1 or 2 were assigned systematically with a random start. This process ensured that the final distribution of the sample EAs to cycles and sub-cycles was geographically representative within each district.

Mode of data collection

Face-to-face paper [f2f]

Research instrument

The same questionnaire was used for cross-sectional, panel and VUP samples. Part A of the questionnaire contains modules on household and individual information. Part B is on agriculture and consumption. The questionnaire was developed in English, and translated into Kinyarwanda.

Questionnaire design took into account the requests raised by major data users and stakeholders, as well as consistency with the previous EICV questionnaires. In addition to methodological improvements, some simplifications were made:

-The major changes introduced in this survey were changes to Section 6, the Economic Activity. Further questioning was added on unemployment and underemployment in response to questions from users, and also to comply with international standards. The section was simplified to enable the analysis to be undertaken by local analysts.

-The Section on the VUP participation was expanded to provide more information, better classification of beneficiaries and to provide greater consistency within the questionnaire. The same questionnaire is to be used on the separate VUP sample which runs in parallel with the EICV4.

-The health section was reduced to try to cut respondent burden, as health-related information is being collected by Demographic and Health Surveys (DHS).

-The expenditure section was changed in minor ways to provide better information for national accounts (housing investment) and for CPI weights (retail outlets).

Questionnaire was tested in pilot surveys and amended in time prior to the fieldwork starting in October 2013. The complete questionnaire is provided as external resources.

Cleaning operations

A day before the interview started, the enumerator, accompanied by a controller, did an introduction to household, explaining how often they will come in that household and delivering a letter indicating that the HH has been selected.

During the field work, after each cycle, the data processing team produced tables and reports of inconsistencies, which were checked by the field supervisor. The data entry system also contained consistency checks that alerted the data entry operators. In case of an alert, the questionnaire was sent back to the supervisor of data entry for correction.

Response rate

Out of the 12,312 sample households selected in the new sample clusters for EICV4, only 79 were non-interviews, for a response rate of 99.4% for this sample. All of the 79 non-interviews were replaced. There were only 12 refusals, and there were few cases of houses that were empty or not found, given that the listing was conducted very close to the interviewing period.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_a4e2d2187b431717b8deb043600f4516/view