This data collection contains basic demographic, social, and economic data for each member of interviewed households during the eight waves of the 1991 Panel of SIPP. Variables include age, sex, race, ethnic origin, marital status, household relationship, education, and veteran status. Limited data are provided on housing unit characteristics such as number of units in structure and tenure. Core questions, repeated at each interview, cover monthly labor force activity, types and amounts of monthly income, and participation in various cash and noncash benefit programs for each month of the survey period. Data for employed persons include number of hours and weeks worked, earnings, and weeks without a job. Nonworkers are classified as unemployed or not in the labor force. In addition to income data associated with labor force activity, nearly 50 other types of income data are provided. Several variables are included for use in identifying longitudinal households and persons in them and to aid in analysis.

Croatia HR: Income Share Held by Highest 20% data was reported at 37.100 % in 2021. This records a decrease from the previous number of 37.300 % for 2020. Croatia HR: Income Share Held by Highest 20% data is updated yearly, averaging 38.400 % from Dec 2009 (Median) to 2021, with 13 observations. The data reached an all-time high of 39.700 % in 2009 and a record low of 37.000 % in 2019. Croatia HR: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Woodlawn. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Woodlawn, the median income for all workers aged 15 years and older, regardless of work hours, was $51,028 for males and $30,387 for females.

These income figures highlight a substantial gender-based income gap in Woodlawn. Women, regardless of work hours, earn 60 cents for each dollar earned by men. This significant gender pay gap, approximately 40%, underscores concerning gender-based income inequality in the village of Woodlawn.

- Full-time workers, aged 15 years and older: In Woodlawn, for all full-time workers aged 15 years and older, the median income was equal at, $60,977 for both males and females. This indicates a gender income balance in Woodlawn, where both men and women, in full-time year-round roles, earn an equal income.

Curiously, across all roles (full-time and others), there was a notable income disparity between the median incomes for women and men. This hints at a considerable reduction in the income gap within full-time roles, potentially indicating progress towards income equality for women in these roles within Woodlawn.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Woodlawn median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Lebanon. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Lebanon, the median income for all workers aged 15 years and older, regardless of work hours, was $53,514 for males and $30,978 for females.

These income figures highlight a substantial gender-based income gap in Lebanon. Women, regardless of work hours, earn 58 cents for each dollar earned by men. This significant gender pay gap, approximately 42%, underscores concerning gender-based income inequality in the city of Lebanon.

- Full-time workers, aged 15 years and older: In Lebanon, among full-time, year-round workers aged 15 years and older, males earned a median income of $71,043, while females earned $51,912, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Lebanon.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Lebanon median household income by race. You can refer the same here

Croatia HR: Broad Money: Average Annual Growth Rate data was reported at 13.069 % in 2021. This records an increase from the previous number of 11.514 % for 2020. Croatia HR: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 10.023 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 74.563 % in 1994 and a record low of -10.538 % in 2012. Croatia HR: Broad Money: Average Annual Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.;International Monetary Fund, International Financial Statistics and data files.;;

Croatia HR: Depository Corporations Survey: Money data was reported at 55,282.077 HRK mn in 2008. This records a decrease from the previous number of 57,941.401 HRK mn for 2007. Croatia HR: Depository Corporations Survey: Money data is updated yearly, averaging 20,866.860 HRK mn from Dec 1993 (Median) to 2008, with 16 observations. The data reached an all-time high of 57,941.401 HRK mn in 2007 and a record low of 3,133.914 HRK mn in 1993. Croatia HR: Depository Corporations Survey: Money data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Croatia – Table HR.IMF.IFS: Financial System: Monetary: Annual.

Croatia HR: GDP: USD: Adjusted Net National Income per Capita data was reported at 14,553.484 USD in 2021. This records an increase from the previous number of 12,231.389 USD for 2020. Croatia HR: GDP: USD: Adjusted Net National Income per Capita data is updated yearly, averaging 10,404.455 USD from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 14,553.484 USD in 2021 and a record low of 3,943.358 USD in 2000. Croatia HR: GDP: USD: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Nominal. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.;World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).;Weighted average;

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Wellington town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Wellington town, the median income for all workers aged 15 years and older, regardless of work hours, was $31,346 for males and $19,375 for females.

These income figures highlight a substantial gender-based income gap in Wellington town. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the town of Wellington town.

- Full-time workers, aged 15 years and older: In Wellington town, for full-time, year-round workers aged 15 years and older, the Census reported a median income of $52,500 for females, while data for males was unavailable due to an insufficient number of sample observations.

As there was no available median income data for males, conducting a comprehensive assessment of gender-based pay disparity in Wellington town was not feasible.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Wellington town median household income by race. You can refer the same here

Croatia HR: Depository Corporations Survey: Money Plus Quasi Money data was reported at 226,415.886 HRK mn in 2008. This records an increase from the previous number of 216,914.018 HRK mn for 2007. Croatia HR: Depository Corporations Survey: Money Plus Quasi Money data is updated yearly, averaging 89,274.913 HRK mn from Dec 1993 (Median) to 2008, with 16 observations. The data reached an all-time high of 226,415.886 HRK mn in 2008 and a record low of 10,012.214 HRK mn in 1993. Croatia HR: Depository Corporations Survey: Money Plus Quasi Money data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Croatia – Table HR.IMF.IFS: Financial System: Monetary: Annual.

Croatia HR: GDP: Real: Gross Domestic Income data was reported at 64,353.920 HRK mn in 2023. This records an increase from the previous number of 60,815.128 HRK mn for 2022. Croatia HR: GDP: Real: Gross Domestic Income data is updated yearly, averaging 49,969.459 HRK mn from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 64,353.920 HRK mn in 2023 and a record low of 31,444.533 HRK mn in 1995. Croatia HR: GDP: Real: Gross Domestic Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Real. Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

Croatia HR: GDP: USD: Net Income from Abroad data was reported at -294.016 USD mn in 2023. This records a decrease from the previous number of -278.756 USD mn for 2022. Croatia HR: GDP: USD: Net Income from Abroad data is updated yearly, averaging -500.406 USD mn from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 944.530 USD mn in 2020 and a record low of -2.341 USD bn in 2009. Croatia HR: GDP: USD: Net Income from Abroad data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Nominal. Net primary income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividends, rent, etc.) and nonfinancial property income (patents, copyrights, etc.). Data are in current U.S. dollars.;World Bank national accounts data, and OECD National Accounts data files.;;

Croatia HR: GDP: USD: Gross National Income data was reported at 84.100 USD bn in 2023. This records an increase from the previous number of 70.920 USD bn for 2022. Croatia HR: GDP: USD: Gross National Income data is updated yearly, averaging 56.944 USD bn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 84.100 USD bn in 2023 and a record low of 21.731 USD bn in 2000. Croatia HR: GDP: USD: Gross National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.;World Bank national accounts data, and OECD National Accounts data files.;Gap-filled total;

Croatia HR: Money Supply: Broad Money data was reported at 370,309.000 HRK mn in 2021. This records an increase from the previous number of 327,506.000 HRK mn for 2020. Croatia HR: Money Supply: Broad Money data is updated yearly, averaging 229,602.000 HRK mn from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 370,309.000 HRK mn in 2021 and a record low of 106,071.351 HRK mn in 2001. Croatia HR: Money Supply: Broad Money data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Croatia – Table HR.IMF.IFS: Money Supply: Annual.

Croatia HR: Broad Money: % of GDP data was reported at 634.006 % in 2021. This records a decrease from the previous number of 647.638 % for 2020. Croatia HR: Broad Money: % of GDP data is updated yearly, averaging 502.615 % from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 647.638 % in 2020 and a record low of 156.111 % in 1995. Croatia HR: Broad Money: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.;International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.;Weighted average;The derivation of this indicator was simplified in September 2012 to be current-year broad money divided by current-year GDP times 100.

Croatia HR: GDP: Growth: Adjusted Net National Income data was reported at 10.289 % in 2021. This records an increase from the previous number of -10.628 % for 2020. Croatia HR: GDP: Growth: Adjusted Net National Income data is updated yearly, averaging 3.434 % from Dec 1996 (Median) to 2021, with 26 observations. The data reached an all-time high of 10.289 % in 2021 and a record low of -10.628 % in 2020. Croatia HR: GDP: Growth: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.;World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).;Weighted average;

Croatia HR: GDP: 2010 Price: USD: Adjusted Net National Income data was reported at 57.156 USD bn in 2019. This records an increase from the previous number of 55.173 USD bn for 2018. Croatia HR: GDP: 2010 Price: USD: Adjusted Net National Income data is updated yearly, averaging 47.391 USD bn from Dec 1995 (Median) to 2019, with 25 observations. The data reached an all-time high of 57.156 USD bn in 2019 and a record low of 30.924 USD bn in 1995. Croatia HR: GDP: 2010 Price: USD: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Gross Domestic Product: Real. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.; Gap-filled total;

Croatia HR: Money Supply: Reserve Money data was reported at 73,263.610 HRK mn in 2016. This records an increase from the previous number of 63,748.540 HRK mn for 2015. Croatia HR: Money Supply: Reserve Money data is updated yearly, averaging 36,096.611 HRK mn from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 73,263.610 HRK mn in 2016 and a record low of 2,248.923 HRK mn in 1993. Croatia HR: Money Supply: Reserve Money data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Croatia – Table HR.IMF.IFS: Money Supply: Annual.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Wellfleet. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Wellfleet, the median income for all workers aged 15 years and older, regardless of work hours, was $48,750 for males and $26,875 for females.

These income figures highlight a substantial gender-based income gap in Wellfleet. Women, regardless of work hours, earn 55 cents for each dollar earned by men. This significant gender pay gap, approximately 45%, underscores concerning gender-based income inequality in the village of Wellfleet.

- Full-time workers, aged 15 years and older: In Wellfleet, for full-time, year-round workers aged 15 years and older, while the Census reported a median income of $62,813 for males, while data for females was unavailable due to an insufficient number of sample observations.

As there was no available median income data for females, conducting a comprehensive assessment of gender-based pay disparity in Wellfleet was not feasible.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Wellfleet median household income by race. You can refer the same here

Croatia HR: Claims on Private Sector: Annual Growth as % of Broad Money data was reported at 1.917 % in 2021. This records a decrease from the previous number of 2.449 % for 2020. Croatia HR: Claims on Private Sector: Annual Growth as % of Broad Money data is updated yearly, averaging 3.702 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 68.885 % in 1994 and a record low of -6.418 % in 1999. Croatia HR: Claims on Private Sector: Annual Growth as % of Broad Money data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Bank Loans. Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere.;International Monetary Fund, International Financial Statistics and data files.;;

This data collection contains basic demographic, social, and economic data for each member of interviewed households during the first seven waves of SURVEY OF INCOME AND PROGRAM PARTICIPATION (SIPP) 1992 PANEL (ICPSR 6429).

Variables include age, sex, race, ethnic origin, marital status, household relationship, education, and veteran status. Limited data are provided on housing unit characteristics such as number of units in structure and tenure.

Core questions, repeated at each interview, cover monthly labor force activity, types and amounts of monthly income, and participation in various cash and noncash benefits programs for each month of the survey period. Data for employed persons include number of hours and weeks worked, earnings, and weeks without a job. Nonworkers are classified as unemployed or not in the labor force. In addition to income data associated with labor force activity, nearly 50 other types of income data are provided. Several variables are included for use in identifying longitudinal households and persons in them and to aid in analysis.