CSI: Government Economic Policy: Good Job data was reported at 28.000 % in May 2018. This records a decrease from the previous number of 30.000 % for Apr 2018. CSI: Government Economic Policy: Good Job data is updated monthly, averaging 19.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 49.000 % in Mar 1999 and a record low of 4.000 % in Dec 2008. CSI: Government Economic Policy: Good Job data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

According to a poll conducted at the end of 2022, Americans were feeling quite pessimistic about the coming year. 90 percent of Americans felt negatively about the prospect of political conflict in 2023.

The Economy 2022 was a difficult year for many Americans, as it was for many around the world. After a year of high inflation, record fuel prices, and decreased financial security, the country greeted 2023 with high rates of skepticism and caution. Although the U.S. economy itself has experienced a strong rebound from the pandemic recession compared with other major economies, a sustained decline in consumer spending power thanks to wage growth not keeping pace with inflation has everyday Americans feeling the pinch.

U.S. political landscape The political scene in the U.S. also had a tumultuous few years in the lead up to 2023. The election of Donald Trump as the 45th President of the United States in 2016 left many voters reeling and the country more divided than ever. The beginning of 2021 was market by the January 6th attack on the Capitol, as well as the inauguration of Joe Biden. Additionally, the country continued to grapple with a politicized response to the COVID-19 pandemic and associated restrictions. 2022 began with the Russian invasion of Ukraine, ushering in the beginning of a global fuel and inflation crisis. In the midst of hardening economic conditions, the Supreme Court overturned its ruling on Roe v. Wade, returning the power to decide abortion restrictions to state legislatures.

The 2022 midterm elections saw Republicans win enough seats to take back control of the House of Representatives, but saw the GOP ultimately underperform compared to predictions at the time. The first day of the 2023 congressional term was marked by the inability of the Republican Party to unify itself behind one candidate for Speaker of the House, leading to a once in a century multi-round of Speaker elections. With new members of the House not able to be sworn in until a Speaker is elected, 2023 had a difficult start.

Dataset Description

This dataset contains the actual and predicted federal funds target rate for the United States from 1990 to 2023. The federal funds target rate is the interest rate at which depository institutions lend their excess reserves to each other overnight. It is set by the Federal Open Market Committee (FOMC) and is a key tool used by the Federal Reserve to influence the economy.

The dataset includes the following five columns:

Release Date: The date on which the data was released by the Federal Reserve. Time: The time of day at which the data was released. Actual: The actual federal funds target rate. Predicted: The predicted federal funds target rate. Forecast: The forecast federal funds target rate.

Data Usage

This dataset can be used for a variety of purposes, including: - Analyzing trends in the federal funds target rate over time. - Forecasting the future path of the federal funds target rate. - Assessing the effectiveness of monetary policy. - Data Quality

The data for this dataset is of high quality. The Federal Reserve is a reputable source of data and the data is updated regularly.

Data Limitations

The data for this dataset is limited to the United States. Additionally, the data does not include information on the factors that influenced the Federal Open Market Committee's decision to set the federal funds target rate.

United States US: Aerospace Industry: Trade Balance data was reported at 48.890 USD bn in 2021. This records an increase from the previous number of 37.029 USD bn for 2020. United States US: Aerospace Industry: Trade Balance data is updated yearly, averaging 39.437 USD bn from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 86.993 USD bn in 2016 and a record low of 20.681 USD bn in 1995. United States US: Aerospace Industry: Trade Balance data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Trade Statistics: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

Thailand economic growth for 2023 was 514.97 billion US dollars, a 3.9% increase from 2022.

<ul style='margin-top:20px;'>

<li>Thailand economic growth for 2022 was <strong>495.65 billion US dollars</strong>, a <strong>2.1% decline</strong> from 2021.</li>
<li>Thailand economic growth for 2021 was <strong>506.26 billion US dollars</strong>, a <strong>1.16% increase</strong> from 2020.</li>
<li>Thailand economic growth for 2020 was <strong>500.46 billion US dollars</strong>, a <strong>8% decline</strong> from 2019.</li>
</ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

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 Economy. 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 Economy, the median income for all workers aged 15 years and older, regardless of work hours, was $40,197 for males and $22,500 for females.

These income figures highlight a substantial gender-based income gap in Economy. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the town of Economy.

- Full-time workers, aged 15 years and older: In Economy, among full-time, year-round workers aged 15 years and older, males earned a median income of $41,250, while females earned $48,750

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.18 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

Key information about US Tax revenue: % of GDP

• United States Tax revenue: % of GDP was reported at 16.6 % in Dec 2024.
• This records an increase from the previous number of 16.2 % for Dec 2023.
• US Tax revenue: % of GDP data is updated yearly, averaging 17.0 % from Dec 1968 to 2024, with 57 observations.
• The data reached an all-time high of 19.5 % in 2000 and a record low of 13.7 % in 2009.
• US Tax revenue: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: % of Nominal GDP: Annual.

CEIC calculates annual Tax Revenue as % of Nominal GDP from monthly Tax Revenue and annual Nominal GDP. Tax Revenue is calculated as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD. The Bureau of Economic Analysis provides Nominal GDP in USD.

Benin economic growth for 2023 was 19.68 billion US dollars, a 13.07% increase from 2022.

<ul style='margin-top:20px;'>

<li>Benin economic growth for 2022 was <strong>17.40 billion US dollars</strong>, a <strong>1.63% decline</strong> from 2021.</li>
<li>Benin economic growth for 2021 was <strong>17.69 billion US dollars</strong>, a <strong>13.02% increase</strong> from 2020.</li>
<li>Benin economic growth for 2020 was <strong>15.65 billion US dollars</strong>, a <strong>8.75% increase</strong> from 2019.</li>
</ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

United States BIE: Labour Cost Effect on Price: Strong Upward Influence data was reported at 22.170 % in Nov 2023. This records an increase from the previous number of 20.326 % for Aug 2023. United States BIE: Labour Cost Effect on Price: Strong Upward Influence data is updated quarterly, averaging 10.687 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 49.396 % in May 2022 and a record low of 1.856 % in Feb 2012. United States BIE: Labour Cost Effect on Price: Strong Upward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data was reported at 1.111 % in Nov 2023. This records an increase from the previous number of 0.751 % for Aug 2023. United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data is updated quarterly, averaging 0.540 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 2.531 % in Nov 2021 and a record low of 0.000 % in May 2022. United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

Key information about United States Consumer Confidence Growth

• United States Consumer Confidence dropped by 6.2 % in Feb 2025, compared with a decrease of 5.0 % in the previous month.
• US Consumer Confidence: YoY Change is updated monthly, available from Feb 1968 to Feb 2025, averaged at 1.2 %.
• The data reached an all-time high of 116.9 % in Dec 1975 and a record low of -66.9 % in Feb 2009.
• In the latest reports, Retail Sales of US grew 1.0 % YoY in May 2023.

CEIC calculates Consumer Confidence Change from monthly Consumer Confidence Index. Conference Board provides Consumer Confidence Index with base 1985=100.

Somalia economic growth for 2023 was 10.97 billion US dollars, a 7.51% increase from 2022.

<ul style='margin-top:20px;'>

<li>Somalia economic growth for 2022 was <strong>10.20 billion US dollars</strong>, a <strong>7.58% increase</strong> from 2021.</li>
<li>Somalia economic growth for 2021 was <strong>9.48 billion US dollars</strong>, a <strong>9.92% increase</strong> from 2020.</li>
<li>Somalia economic growth for 2020 was <strong>8.63 billion US dollars</strong>, a <strong>0.31% decline</strong> from 2019.</li>
</ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

About this dataset

Context

The dataset tabulates the population of Economy by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Economy across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.91% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Economy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Economy Population by Race & Ethnicity. You can refer the same here

Key information about United States Categorical Economic Policy Uncertainty Index: United States

• United States Categorical Economic Policy Uncertainty Index was reported at 313.268 Index in Feb 2025.
• This records an increase from the previous number of 236.696 Index for Jan 2025.
• US Categorical Economic Policy Uncertainty Index data is updated monthly, averaging 93.847 Index from Jan 1985 to Feb 2025, with 482 observations.
• The data reached an all-time high of 503.012 Index in Apr 2020 and a record low of 37.266 Index in Jul 2007.
• US Categorical Economic Policy Uncertainty Index data remains active status in CEIC and is reported by Economic Policy Uncertainty.
• The data is categorized under World Trend Plus’s Economic Policy Uncertainty Index – Table: Categorical Economic Policy Uncertainty Index: By Country.

The Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers. Each categorical series is multiplicatively normalized to have a mean of 100 from 1985-2010.

About this dataset

Context

The dataset tabulates the population of Economy by race. It includes the population of Economy across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Economy across relevant racial categories.

Key observations

The percent distribution of Economy population by race (across all racial categories recognized by the U.S. Census Bureau): 94.13% are white, 1.24% are Black or African American, 0.14% are American Indian and Alaska Native, 0.07% are Asian, 0.09% are some other race and 4.34% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Economy
• Population: The population of the racial category (excluding ethnicity) in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Economy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Economy Population by Race & Ethnicity. You can refer the same here

In 2024, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.4 trillion U.S. dollars, whereas Mexico's amounted to almost two trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

Georgia GDP for 2023 was 30.78 billion US dollars, a 23.19% increase from 2022.

<ul style='margin-top:20px;'>

<li>Georgia GDP for 2022 was <strong>24.98 billion US dollars</strong>, a <strong>32.52% increase</strong> from 2021.</li>
<li>Georgia GDP for 2021 was <strong>18.85 billion US dollars</strong>, a <strong>17.75% increase</strong> from 2020.</li>
<li>Georgia GDP for 2020 was <strong>16.01 billion US dollars</strong>, a <strong>9.23% decline</strong> from 2019.</li>
</ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

Key information about United States Total Imports Growth

• United States Total Imports grew 26.1 % YoY in Jan 2025, compared with a decrease of 12.9 % YoY in the previous month
• United States Total Imports Growth data is updated monthly, available from Jan 1990 to Jan 2025, with an averaged rate of 7.1 %
• The data reached an all-time high of 38.7 % in May 2021 and a record low of -35.4 % in May 2009

CEIC calculates Total Imports Growth from monthly Total Imports. The U.S. Census Bureau provides Total Imports, CIF, in USD.


Further information about United States Total Imports Growth

• In the latest reports, United States Total Imports recorded 327.1 USD bn in Jan 2025
• Total Exports reached 171.6 USD bn in Jan 2025, which registered a decrease of 7.9 % year on year
• United States Trade Balance recorded a deficit of 155.6 USD bn in Jan 2025

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Economy, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Economy, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Economy households based on income levels.

Key observations

• For Family Households: In Economy, the majority of family households, representing 14.12%, earn $100,000 to $124,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.37%, have incomes falling $150,000 to $199,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Economy, the majority of non-family households, accounting for 14.68%, have income $60,000 to $74,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.45%, earn $150,000 to $199,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• 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
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Economy, PA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Economy, PA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Economy, PA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Economy, PA

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 Economy median household income. You can refer the same here