Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Redwood County, MN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Redwood County, MN
Series ID MHICILBMN27127A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22592
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26707
1994-01-01 .
1995-01-01 27864
1996-01-01 .
1997-01-01 31469
1998-01-01 32126
1999-01-01 34603
2000-01-01 36332
2001-01-01 35647
2002-01-01 35664
2003-01-01 35969
2004-01-01 38385
2005-01-01 40887
2006-01-01 38884
2007-01-01 42731
2008-01-01 41424
2009-01-01 43217
2010-01-01 42944
2011-01-01 44642
2012-01-01 45328
2013-01-01 46660
2014-01-01 45940
2015-01-01 44488
2016-01-01 50675
2017-01-01 50058
2018-01-01 53267
2019-01-01 55080
2020-01-01 56224
2021-01-01 55925
2022-01-01 60903
2023-01-01 64368

Subscribe to the FRED newsletter


Follow us

Back to Top