International Data & Economic Analysis (IDEA) is USAID's comprehensive source of economic and social data and analysis. IDEA brings together over 12,000 data series from over 125 sources into one _location for easy access by USAID and its partners through the USAID public website. The data are broken down by countries, years and the following sectors: Economy, Country Ratings and Rankings, Trade, Development Assistance, Education, Health, Population, and Natural Resources. IDEA regularly updates the database as new data become available. Examples of IDEA sources include the Demographic and Health Surveys, STATcompiler; UN Food and Agriculture Organization, Food Price Index; IMF, Direction of Trade Statistics; Millennium Challenge Corporation; and World Bank, World Development Indicators. The database can be queried by navigating to the site displayed in the Home Page field below.

A Computable General Equilibrium (CGE) model in a bottom-up approach - based on microfoundations - and a Social Accounting Matrix (SAM) for the regional economy of Chiapas are built. Methodology: This research applies a Computable General Equilibrium (CGE) model. It is a system of equations that describes an entire economy and all the interactions between productive sectors, commodity and factor markets, and institutions. All of the equations are solved simultaneously to find an economy-wide equilibrium in which demand and supply quantities are equal in every market at a certain level of prices (Burfisher, 2011). Two of the features of this model are that, on one hand, it implements a “bottom-up” approach, that is, it is focused on individual markets and economic agents. On the other hand, it is partially synthetic. In other words, most parameters can be calibrated with data from the SAM. Data framework: A Social Accounting Matrix (SAM) is a balanced square matrix that represents all income and expenditure flows between productive sectors, markets, and economic agents of an economy at a given period of time (Müller, Perez & Hubertus, 2009). It is based on the double entry bookkeeping in accounting, which requires that total revenue equals total expenditure in each single account included in the SAM (Breisinger, Thomas & Thurlow, 2010). The main features of the Chiapas SAM are that production activities are broken down in 10 sectors, according to the North American Industry Classification System (NAICS). There is one commodity per economic activity. Factors of production are disaggregated into formal and informal labor, and capital. Direct taxes are broken up into activity tax, social security contributions, household and corporate income taxes, ‘tenencia’ tax (ownership tax, i.e. a tax associated with the possession or use of vehicles), and regional payroll tax (‘nomina’). Indirect taxes, in turn, are value-added, sales and export taxes, and import tariffs. Subsidies on production by economic activity are also included. Households are disaggregated by income quintiles. Social transfers are split in non-conditional (Procampo, universal pension, PAL-Sin Hambre , temporary employment program, and the regional program Amanecer ) and Oportunidades. The latter is also broken down into its five components: food, elderly, education, child, and energy. The introduction of conditional cash transfers in the SAM is particularly relevant because it allows assessing the impact of changes in their amount and distribution on household income, poverty reduction, income inequality, and economic growth at the regional level. Data sources: - National Institute of Statistics and Geography (INEGI): 2012 National Employment and Occupation Survey 2013 Chiapas Statistical Yearbook 2012 National Household Income-Expenditure Survey 2012 Chiapas Statistical Perspective 2003-2012 Goods and Services Accounts (SCNM) 2003-2012 Institutional Sector Accounts (SCNM) 2008 Input-Output Table 2008 Supply and Use Tables - Chiapas State Committee of Statistical and Geographical Information (CEIEG): 2012 Chiapas Employment and Occupation Survey 2012 Chiapas Monthly Statistical Reports of IMSS-insured Workers - Federal Ministry of Labor and Social Welfare (STYPS): 2012 IMSS-registered Daily Salary by Economic Activity 2012 IMSS-insured Workers Quality/Lineage: With the raw data a Social Accounting Matrix for the regional economy of Chiapas was built Features: - Oportunidades broken down by component - Other non-conditional social transfers such as Procampo, PAL-Sin Hambre, Employment program, Universal pension, and the regional program 'Amanecer' - Informal wages - Satellites tables of formal and informal employment - Productive activities according to the North American Industry Classification System (NAICS) used in Mexico, Canada, and the United States of America - 10 economic activities - 10 Commodities (one per economic activity) - Factors of production: formal and informal labor and capital Purpose: 1. To assess the opportunity cost of financing "Oportunidades", Mexico's conditional cash transfers program, and its implications for rural development and rural economic growth in the regional setting of Chiapas. Moreover, 2. Pro-growth and pro-poor tax structures are also evaluated by applying standard economic analysis tools and modeling to substantially raise the federal non-oil tax revenue to finance social policy for poverty and inequality reduction. Dissertation: Viveros Añorve, J. L. (2015): The opportunity cost of financing "Oportunidades": a general equilibrium assessment for poverty reduction in Mexico. Ph.D. dissertation. Center for Development Research, Faculty of Agriculture, University of Bonn

United States Employment: NF: sa: PW: NR: MG: Crushed & Broken Limestone data was reported at 16.000 Person th in May 2018. This stayed constant from the previous number of 16.000 Person th for Apr 2018. United States Employment: NF: sa: PW: NR: MG: Crushed & Broken Limestone data is updated monthly, averaging 19.400 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 22.600 Person th in Dec 1999 and a record low of 14.600 Person th in Feb 2014. United States Employment: NF: sa: PW: NR: MG: Crushed & Broken Limestone data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

The table shows the number of employees in the local units of enterprises for the years in question, broken down by section of economic activity according to the ATECO 2007 classification.

This statistic depicts the turnover of the global space economy in 2016, broken down by type. In 2016, the United States government spent ** billion U.S. dollars on defense and non-defense space efforts.

United States EP: VP: OO: Soybeans, Whether or Not Broken data was reported at 235.800 Dec2001=100 in Mar 2025. This records an increase from the previous number of 234.300 Dec2001=100 for Feb 2025. United States EP: VP: OO: Soybeans, Whether or Not Broken data is updated monthly, averaging 223.600 Dec2001=100 from Dec 2001 (Median) to Mar 2025, with 279 observations. The data reached an all-time high of 385.600 Dec2001=100 in Sep 2012 and a record low of 98.700 Dec2001=100 in Feb 2002. United States EP: VP: OO: Soybeans, Whether or Not Broken data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.JA116: Export Price Index: by Harmonized Index.

Evolution of the number of grants LDE (Local Service Economy) per quarter and broken down by employer address.This measure has gradually become individualised since 1 July 2023.The number of grants is unique within one quarter but not over several quarters, so when summing up the number of grants in this dataset, this does not reflect the number of unique grants.

EconomyPanel features demographic and economic data about the City’s fifteen council districts, broken down into six broad categories including: population, gender, income,employment, housing, and building permits.

Series Name: Direct economic loss resulting from damaged or destroyed critical infrastructure attributed to disasters (current United States dollars)Series Code: VC_DSR_CILNRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.5.2: Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)Target 1.5: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disastersGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Graph and download economic data for Producer Price Index by Industry: Crushed and Broken Granite Mining: Primary Products (PCU212313212313P) from Dec 1983 to Jun 2025 about primary, mining, PPI, industry, inflation, price index, indexes, price, and USA.

The Second World War's Eastern Front, the largest theater of war in history, was largely dominated by the conflict between Germany and the Soviet Union. The two countries had agreed upon an unexpected peace pact in 1939, with the joint invasion and partition of Poland, but this peace was broken in June 1941 when Germany invaded the Soviet Union during Operation Barbarossa. Germany's economic and technological superiority, alongside its Blitzkrieg military strategy, allowed it to gain the upper hand in the early stages of the conflict. Within six months the Germans had pushed the frontlines back to Moscow, and almost 40 percent of the Soviet population now lived in occupied territory. German gains at the expense of the Soviets was reflected in the changing balance of their economies - Germany's GDP grew each year until 1944, whereas the Soviet GDP fell by one third between 1940 and 1942.

Series Name: Direct economic loss to cultural heritage damaged or destroyed attributed to disasters (millions of current United States dollars)Series Code: VC_DSR_CHLNRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.5.2: Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)Target 1.5: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disastersGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

United States AHE: PW: ML: Crushed & Broken Limestone Mining data was reported at 26.690 USD in Nov 2021. This records a decrease from the previous number of 26.880 USD for Oct 2021. United States AHE: PW: ML: Crushed & Broken Limestone Mining data is updated monthly, averaging 17.370 USD from Jan 1990 (Median) to Nov 2021, with 383 observations. The data reached an all-time high of 26.880 USD in Oct 2021 and a record low of 10.570 USD in Jan 1990. United States AHE: PW: ML: Crushed & Broken Limestone Mining data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers.

GCC investments and percent by economic sector

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Broken Bow: 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 54(3.76%) households where the householder is under 25 years old, 524(36.52%) households with a householder aged between 25 and 44 years, 507(35.33%) households with a householder aged between 45 and 64 years, and 350(24.39%) 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 Broken Bow, 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) 2017-2021 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 Broken Bow median household income by age. You can refer the same here

United States PPI: Mining: EO: NM: SQ: Other Crushed & Broken Stone (OB) data was reported at 420.199 Dec1983=100 in Mar 2025. This records an increase from the previous number of 411.482 Dec1983=100 for Feb 2025. United States PPI: Mining: EO: NM: SQ: Other Crushed & Broken Stone (OB) data is updated monthly, averaging 171.300 Dec1983=100 from Dec 1983 (Median) to Mar 2025, with 496 observations. The data reached an all-time high of 420.199 Dec1983=100 in Mar 2025 and a record low of 100.000 Dec1983=100 in Dec 1983. United States PPI: Mining: EO: NM: SQ: Other Crushed & Broken Stone (OB) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I081: Producer Price Index: by Industry: Logging and Mining.

Graph and download economic data for Producer Price Index by Industry: Other Crushed and Broken Stone Mining: Secondary Products (PCU212319212319S) from Dec 1983 to Dec 2014 about secondary, mining, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Crushed and Broken Limestone Mining: Miscellaneous Receipts (PCU212312212312M) from Jun 2005 to Jul 2014 about miscellaneous, receipts, mining, PPI, industry, inflation, price index, indexes, price, and USA.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Broken Arrow: 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 1,555(3.41%) households where the householder is under 25 years old, 15,809(34.71%) households with a householder aged between 25 and 44 years, 15,636(34.33%) households with a householder aged between 45 and 64 years, and 12,550(27.55%) 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 Broken Arrow, 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) 2022 1-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 Broken Arrow median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Broken Arrow. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Broken Arrow population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 68.36% of the total residents in Broken Arrow. Notably, the median household income for White households is $86,064. Interestingly, despite the White population being the most populous, it is worth noting that Native Hawaiian and Other Pacific Islander households actually reports the highest median household income, with a median income of $122,679. This reveals that, while Whites may be the most numerous in Broken Arrow, Native Hawaiian and Other Pacific Islander households experience greater economic prosperity in terms of median household income.

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Broken Arrow.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Broken Arrow median household income by race. You can refer the same here