List of US Counties (including FIPS State and FIPS County codes) and the respective Federal Reserve District they belong to.

This spreadsheet extends the Excel file "U.S. FIPS County Codes" by MDR Education to include 'Federal Reserve District Boundaries' based on the 1996 document published by the Federal Reserve Bank of St. Louis. It also includes the US territories that are under the Federal Reserve System. There may be some differences in county lists as minor changes to county names have occurred since 1996.

The FFIEC 002 is mandated by the International Banking Act (IBA) of 1978. It collects balance sheet and off-balance-sheet information, including detailed supporting schedule items, from all U.S. branches and agencies of foreign banks. The FFIEC 002S collects information on assets and liabilities of any non-U.S. branch that is managed or controlled by a U.S. branch or agency of a foreign bank.

Insured domestically chartered commercial banks and savings associations that have one or more branch offices in a foreign country are required to report balance sheet information for each of their foreign branches on either the Federal Financial Institutions Examination Council (FFIEC) 030 or FFIEC 030S. The Foreign Branch Report of Condition (FFIEC 030) collects information on the structure and geographic distribution of foreign branch assets, liabilities, derivatives, and off-balance-sheet data. The Abbreviated Foreign Branch Report of Condition (FFIEC 030S) collects five financial data items for smaller, less complex branches. The FFIEC 030 is collected annually as of December 31 or quarterly for significant branches as of the last day of each calendar quarter; the FFIEC 030S is an abbreviated reporting form filed annually by smaller institutions. The Federal Reserve receives reports for all foreign branches of U.S. banks, regardless of charter type, on behalf of the U.S. banks' primary federal bank regulatory agency (Board, Federal Deposit Insurance Corporation (FDIC), or Office of the Comptroller of the Currency (OCC) (collectively, the agencies)). The agencies use the FFIEC 030 and FFIEC 030S reports to fulfill their statutory obligation to supervise foreign operations of domestic banks.

This is monthly US unemployment rate data from January 2017 to November 2022. The datasets were curated from the Federal Reserve Economic Data that can be found here.

Definition of Unemployment Rate :

"The unemployment rate represents the number of unemployed as a percentage of the labour force. Labour force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces." (Source: FRED website)

Files

There are two datasets. The first dataset contains the total US unemployment rate and the second dataset contains unemployment rates per US state.

unemployment_rate_us.csv

unemployment_us - This is the total seasonally adjusted US unemployment rate in percent. You can find the data source here. first_day_of_month - The date of the first day of the month.

unemployment_rates.csv

first_day_of_month - The date of the first day of the month. state - The name of the state. unemployment_rate - This is the seasonally adjusted unemployment rate per US state in percent. You can find the data source here.

Feel free to let me know if you have any open questions with regard to the dataset.

Happy data science! ;)

Source: U.S. Bureau of Labor Statistics

Units: Percent, Seasonally Adjusted

Frequency: Monthly

The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.

This rate is also defined as the U-3 measure of labor underutilization.

The series comes from the 'Current Population Survey (Household Survey)'

Suggested Citation:

U.S. Bureau of Labor Statistics, Unemployment Rate [UNRATE], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UNRATE, August 13, 2023.

This hosted feature layer has been published in RI State Plane Feet NAD 83.The RI Neighborhood Stabilization Program (NSP) Mapping analysis was performed to assist the Office of Housing and Community Development in identifying target areas with both a Foreclosure Rate (Block Group Level) >=6.5% and a Subprime Loan percentage rate >= 1.4% (Zip Code Level). Based on these criteria the following communities were identified as containing such target areas: Central Falls, Cranston, Cumberland, East Providence, Johnston, North Providence, Pawtucket, Providence, Warwick, West Warwick, and Woonsocket. Federal funding, under the Housing and Economic Recovery Act of 2008 (HERA), Neighborhood Stabilization Program (NSP), totaling $19.6 will be expended in these NSP Target Areas to assist in the rehabilitation and redevelopment of abandoned and foreclosed homes, stabilizing communities.The State of Rhode Island distributes funds allocated, giving priority emphasis and consideration to those areas with the greatest need, including those areas with - 1) Highest percentage of home foreclosures; 2) Highest percentage of homes financed by subprime mortgage loans; and 3) Anticipated increases in rate of foreclosure. The RI Office of Housing and Community Development, with the assistance of Rhode Island Housing, utilized the following sources to meet the above requirements. 1) U.S. Department of Housing & Urban Development (HUD) developed foreclosure data to assist grantees in identification of Target Areas. The State utilized HUD's predictive foreclosure rates to identify those areas which are likely to face a significant rise in the rate of home foreclosures. HUD's methodology factored in Home Mortgage Disclosure Act, income, unemployment, and other information in its calculation. The results were analyzed and revealed a high level of consistency with other needs data available. 2) The State obtained subprime mortgage loan information from the Federal Reserve Bank of Boston. Though the data does not include all mortgages, and was only available at the zip code level rather than Census Tract, findings were generally consistent with other need categories. This data was joined to the Foreclosure dataset in order to select areas with both a Foreclosure Rate >=6.5% and a Subprime Loan Rate >=1.4%. 3) The State also obtained, from the Warren Group, actual local foreclosure transaction records. The Warren Group is a source for real estate and banking news and transaction data throughout New England. This entity has analyzed local deed records in assembling information presented. The data set was normalized due to potential limitations. An analysis revealed a high level of consistency with HUD-predictive foreclosure rates.

The USGS Governmental Unit Boundaries dataset from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or equivalents), Federal and Native American areas, congressional districts, minor civil divisions, incorporated places (such as cities and towns), and unincorporated places. Boundaries data are useful for understanding the extent of jurisdictional or administrative areas for a wide range of applications, including mapping or managing resources, and responding to natural disasters. Boundaries data also include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS. Please refer to the feature-level metadata ...