All Employees: Financial Activities in Duluth, MN-WI (MSA) |
2023-03-25 03:40:40-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227FIREN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Government in Duluth, MN-WI (MSA) |
2023-03-25 03:40:40-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227GOVTN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Information in Duluth, MN-WI (MSA) |
2023-03-25 03:40:40-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227INFON). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Leisure and Hospitality in Duluth, MN-WI (MSA) |
2023-03-25 03:40:40-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227LEIHN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Professional and Business Services in Duluth, MN-WI (MSA) |
2023-03-25 03:40:40-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227PBSVN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Other Services in Duluth, MN-WI (MSA) |
2023-03-25 03:40:39-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/DULU227SRVON). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Information in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) |
2023-03-25 03:40:38-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/MINN427INFON). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Education and Health Services in Rochester, MN (MSA) |
2023-03-25 03:40:38-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/ROCH327EDUHN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Government in Rochester, MN (MSA) |
2023-03-25 03:40:38-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/ROCH327GOVTN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
All Employees: Leisure and Hospitality in Rochester, MN (MSA) |
2023-03-25 03:40:38-05 / Monthly / Thousands of Persons | ![]() |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/ROCH327LEIHN). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
S&P/Case-Shiller MN-Minneapolis Home Price Index |
2022-12-01 / Monthly / Index Jan 2000=100 | ![]() |
For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Minneapolis, Minnesota in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Minneapolis, Minnesota. Permission to reproduce this series can be requested from [email protected] More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices. |
All-Transactions House Price Index for Minnesota |
2022-10-01 / Quarterly / Index 1980:Q1=100 | ![]() |
Estimated using sales prices and appraisal data. |
State Minimum Wage Rate for Minnesota |
2023-01-01 / Annual / Dollars per Hour | ![]() |
State minimum wage applies only after a certain level of gross annual sales or receipts is reached by the employer. For more information, visit https://www.dol.gov/whd/state/stateMinWageHis.htm |
Unemployment Rate in Minnesota |
2023-01-01 / Monthly / Percent | ![]() |
All-Transactions House Price Index for Minneapolis-St. Paul-Bloomington, MN-WI (MSA) |
2022-10-01 / Quarterly / Index 1995:Q1=100 | ![]() |
Estimated using sales prices and appraisal data. |
Real Median Household Income in Minnesota |
2021-01-01 / Annual / 2021 CPI-U-RS Adjusted Dollars | ![]() |
Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf). |
Gross Domestic Product: All Industry Total in Minnesota |
2021-01-01 / Annual / Millions of Dollars | ![]() |
Labor Force Participation Rate for Minnesota |
2023-02-01 / Monthly / Percent | ![]() |
A state's labor-force participation rate is the number of all employed and unemployed workers divided against the state's civilian population. Differences between monthly seasonally-adjusted and not-seasonally-adjusted labor force participation rates are determined by the seasonal components of the LAUS labor force levels. The not seasonally adjusted version of this time series is LBSNSA27 |
Average Price: Electricity per Kilowatt-Hour in Minneapolis-St. Paul-Bloomington, MN-WI (CBSA) |
2023-02-01 / Monthly / U.S. Dollars | ![]() |
All electricity. Average consumer prices are calculated for household fuel, motor fuel, and food items from prices collected for the Consumer Price Index (CPI). Average prices are best used to measure the price level in a particular month, not to measure price change over time. It is more appropriate to use CPI index values for the particular item categories to measure price change. Prices, except for electricity, are collected monthly by BLS representatives in the 75 urban areas priced for the CPI. Electricity prices are collected for the BLS for the same 75 areas on a monthly basis by the Department of Energy using mail questionnaires. All fuel prices include applicable Federal, State, and local taxes; prices for natural gas and electricity also include fuel and purchased gas adjustments. For more information, please visit the Bureau of Labor Statistics (https://www.bls.gov/cpi/factsheets/average-prices.htm). |
Unemployment Rate in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) |
2023-01-01 / Monthly / Percent | ![]() |
All-Transactions House Price Index for Minnesota |
2022-10-01 / Quarterly / Index 1980:Q1=100 | ![]() |
State Minimum Wage Rate for Minnesota |
2023-01-01 / Annual / Dollars per Hour | ![]() |
Unemployment Rate in Minnesota |
2023-02-01 / Monthly / Percent | ![]() |
Labor Force Participation Rate for Minnesota |
2023-02-01 / Monthly / Percent | ![]() |
Housing Inventory: Active Listing Count in Minnesota |
2023-02-01 / Monthly / Level | ![]() |
Real Median Household Income in Minnesota |
2021-01-01 / Annual / 2021 CPI-U-RS Adjusted Dollars | ![]() |
Gross Domestic Product: All Industry Total in Minnesota |
2021-01-01 / Annual / Millions of Dollars | ![]() |
Rental Vacancy Rate for Minnesota |
2022-01-01 / Annual / Percent | ![]() |
Resident Population in Minnesota |
2022-01-01 / Annual / Thousands of Persons | ![]() |
New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Minnesota |
2023-02-01 / Monthly / Units | ![]() |
Per Capita Personal Income in Minnesota |
2021-01-01 / Annual / Dollars | ![]() |
Housing Inventory: Median Listing Price per Square Feet in Minnesota |
2023-02-01 / Monthly / U.S. Dollars | ![]() |
Homeownership Rate for Minnesota |
2022-01-01 / Annual / Percent | ![]() |
All Employees: Total Nonfarm in Minnesota |
2023-02-01 / Monthly / Thousands of Persons | ![]() |
Pandemic Unemployment Assistance Initial Claims in Minnesota |
2022-11-05 / Weekly / Number | ![]() |
SNAP Benefits Recipients in Minnesota |
2021-06-01 / Monthly / Persons | ![]() |
Initial Claims in Minnesota |
2023-03-18 / Weekly / Number | ![]() |
New Private Housing Units Authorized by Building Permits for Minnesota |
2023-02-01 / Monthly / Units | ![]() |
Real Gross Domestic Product: All Industry Total in Minnesota |
2021-01-01 / Annual / Millions of Chained 2012 Dollars | ![]() |
Median Household Income in Minnesota |
2021-01-01 / Annual / Current Dollars | ![]() |
Average Hourly Earnings of All Employees: Total Private in Minnesota (DISCONTINUED) |
2022-03-01 / Monthly / Dollars per Hour | ![]() |
Bachelor's Degree or Higher for Minnesota |
2021-01-01 / Annual / Percent | ![]() |
Continued Claims (Insured Unemployment) in Minnesota |
2023-03-11 / Weekly / Number | ![]() |
Insured Unemployment Rate in Minnesota |
2023-03-11 / Weekly / Percent | ![]() |
Average Hourly Earnings of Production Employees: Manufacturing: Durable Goods in Minnesota |
2023-02-01 / Monthly / Dollars per Hour | ![]() |
Mean Commuting Time for Workers (5-year estimate) in Hennepin County, MN |
2021-01-01 / Annual / Minutes | ![]() |
Housing Inventory: Median Listing Price in Minnesota |
2023-02-01 / Monthly / U.S. Dollars | ![]() |
Average Hourly Earnings of All Employees: Total Private in Minnesota |
2023-02-01 / Monthly / Dollars per Hour | ![]() |
All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in Minnesota |
2023-02-01 / Monthly / Thousands of Persons | ![]() |
Total Unemployed, Plus All Marginally Attached Workers, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Marginally Attached Workers for Minnesota |
2022-07-01 / Quarterly / Percent, 4-Quarter Moving Average | ![]() |
Average Hourly Earnings of Production Employees: Leisure and Hospitality: Food Services and Drinking Places in Minnesota (DISCONTINUED) |
2022-03-01 / Monthly / Dollars per Hour | ![]() |
Total Wages and Salaries in Minnesota |
2022-07-01 / Quarterly / Thousands of Dollars | ![]() |
Personal Consumption Expenditures: Goods: Durable Goods for Minnesota |
2021-01-01 / Annual / Millions of Dollars | ![]() |
Implicit Regional Price Deflator for Minnesota |
2021-01-01 / Annual / US PCE Index 2012=100 | ![]() |
Monthly State Retail Sales: Total Retail Sales Excluding Nonstore Retailers in Minnesota |
2022-11-01 / Monthly / Percent Change from Year Ago | ![]() |
State Tax Collections: T51 Documentary and Stock Transfer Taxes for Minnesota |
2022-10-01 / Quarterly / Millions of U.S. Dollars | ![]() |
S&P/Case-Shiller MN-Minneapolis Home Price Index |
2022-12-01 / Monthly / Index Jan 2000=100 | ![]() |
Unemployment Rate in Anoka County, MN |
2023-01-01 / Monthly / Percent | ![]() |
Unemployment Rate in Hennepin County, MN |
2023-01-01 / Monthly / Percent | ![]() |