Arizona

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Economic Characteristics – class of worker, commute to work, employment status, health insurance, income and benefits, industry,occupation, and poverty.

New Privately Owned Housing Units Authorized, Unadjusted Units for Regions, Divisions, and States County data collecting from the link https://www2.census.gov/econ/bps/County/

New Privately-Owned Housing Units Authorized Unadjusted Units by State, Regions and Metropolitan Area

The Federal Reserve Bank of Philadelphia produces a monthly coincident index for each of the 50 states. The indexes are released a few days after the Bureau of Labor Statistics (BLS) releases the employment data for the states. The Bank issues a release each month describing recent trends in the state indexes, with special coverage of the three states in the Third District: Pennsylvania, New Jersey, and Delaware. The coincident indexes combine four state-level indicators to summarize current economic conditions in a single statistic. The four state-level variables in each coincident index are nonfarm payroll employment, average hours worked in manufacturing by production workers, the unemployment rate, and wage and salary disbursements plus proprietors' income deflated by the consumer price index (U.S. city average). The trend for each state’s index is set to the trend of its gross domestic product (GDP), so long-term growth in the state’s index matches long-term growth in its GDP. A dynamic single-factor model is used to create the state indexes. James Stock and Mark Watson developed the basic model for constructing a coincident index for the U.S. Theodore Crone and Alan Clayton-Matthews adapted the basic model for the states. The method involves a system of five major equations: one equation for each input variable and one equation for an underlying (latent) factor that is reflected in each of the indicator (input) variables. The underlying factor represents the state coincident index. The model and the input variables are consistent across the 50 states, so the state indexes are comparable to one another.

Note: Industry classification is based on North American Industry Classification System (NAICS). County Business Patterns (CBP) is an annual series that provides sub-national economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas, analyzing economic changes over time, and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.

The economic activity index measures average economic growth in the metropolitan area. It is computed using a dynamic factor model that includes 12 variables measuring various aspects of economic activity in the MSA. The index is calibrated to Gross Metropolitan Product (GMP) growth and variance to allow for comparison across metro areas.

U.S. Employment by Sector -  Monthly data

These annual statistics provide information on the amount and characteristics of new investments in the United States by foreign investors, including information on the acquisition and establishment of U.S. business enterprises by foreign investors and on the expansion of existing U.S. affiliates of foreign companies to establish new production facilities. 

Household Debt Reaches New Peak Driven by Gains in Mortgage, Auto, and Student Debt  According to the latest Quarterly Report on Household Debt and Credit, total household debt increased by $206 billion (1.4 percent) to $14.56 trillion in the fourth quarter of 2020, driven in part by a steep increase in mortgage originations. The total debt balance is $414 billion higher than at the end of 2019. Newly originated mortgages, which include refinances, reached a record high of $1.2 trillion, surpassing in nominal terms the volumes seen during the historic refinance boom in the third quarter of 2003. Auto and student loan balances increased by $14 billion and $9 billion, respectively.

Original data link: https://knoema.com/BLS_LA/local-area-unemployment-statistics-u-s

Index Period: January 4th - January 31st Indexing Type: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 1 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

The Regional database contains annual data from 1995 to the most recent available year (generally 2018 for demographic and labor market data, 2017 for regional accounts, innovation and social statistics). The data collection is undertaken by the Center for Entrepreneurship, SMEs, Regions and Cities (CFE). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and via downloads from the web-sites of National Statistical Offices and Eurostat

 High Frequency Economic Datastream (Jul-Sep 2020) Markets US, China, Canada Collected Insights Information (age, gender, location, income), Employment and sector, Ability to pay bills, Saving and spending, Primary source of income, Consumer confidence, Views on economic recovery, Impact of COVID-19 on income, Views on speed of re-opening

The data or facts (facts are more than mere bragging) help to understand situation,How’s the economy? What about taxes? Debt? Personal wages? in Texas as compare to other Economy which help policymakers and taxpayers to make better policies and investment for future of Texas. The Comptroller of Public Accounts, Texas forecasts revenue for the state, making it vitally important that keep a finger on the pulse of the economy. Third-party sources compiled the source data for these rankings; our office has not independently verified the data. The Comptroller does not control or guarantee the accuracy, completeness or timeliness of any source data — provided as of the date indicated — or related website. When you access any third-party website, you will be leaving the Comptroller’s website.

Given the sudden, extreme impact of the COVID-19 outbreak on initial unemployment claims in recent weeks, our researchers’ standard approach for estimating the six-month change in coincident indexes is not appropriate. Therefore, the Philadelphia Fed has suspended the release of the state leading indexes indefinitely.  The Federal Reserve Bank of Philadelphia produces leading indexes for each of the 50 states. The indexes are calculated monthly and are usually released a week after the release of the coincident indexes. The Bank issues a release each month describing the current and future economic situation of the 50 states with special coverage of the Third District: Pennsylvania, New Jersey, and Delaware. The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. A time-series model (vector autoregression) is used to construct the leading index. Current and prior values of the forecast variables are used to determine the future values of the index.   NOTE- Source has indefinitely suspended publication of this dataset

US Trade By Commodity (HS), All commodities from chapter 73 Note:- For commodity "7323930080 - Household Articles, Stainless Steel, Nesoi & Parts" unit is different for exports and imports. The unit for exports and Imports are  Kilogram and Number respectively.For commodity " 7319901000 - Sewing, Darning Or Embroidery Needles, Iron Or Stl" we have data only for imports and unit is thousand and for Export Quantity Unit is "X".If a commodity has unit as “X” and “Blank” then there is no quantity data provided for the commodity. This happens when US government does not want to disclose the quantity to the Exporter or Importer. Since there is no quantity available, unit price calculations can not be provided.  

Note: This dataset presents the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume. Where the claimant claims the claim is filed directly with the claimant. These are the basis for the initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continuing claims are based on a second reporting by the state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

ALICE is an acronym for Asset Limited, Income Constrained, Employed, and represents the growing number of families who are unable to afford the basics of housing, child care, food, transportation, health care, and technology. The Household Survival Budget is the bare-minimum cost to live and work in the modern economy. It calculates the actual costs of basic necessities (housing, child care, food, transportation, health care, a basic smartphone plan, and taxes) in a particular county in a state, adjusted for different counties and household types. The ALICE Threshold is the average income that a household needs to afford the basic necessities defined by the Household Survival Budget for each county