New York

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.

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.

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

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