Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wadena County, MN
Series ID MHICILBMN27159A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 17366
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20687
1994-01-01 .
1995-01-01 21936
1996-01-01 .
1997-01-01 23940
1998-01-01 25243
1999-01-01 28565
2000-01-01 30029
2001-01-01 28967
2002-01-01 29234
2003-01-01 30311
2004-01-01 32517
2005-01-01 31059
2006-01-01 31839
2007-01-01 32495
2008-01-01 32393
2009-01-01 32867
2010-01-01 33324
2011-01-01 32594
2012-01-01 34396
2013-01-01 36230
2014-01-01 38667
2015-01-01 42484
2016-01-01 38517
2017-01-01 41271
2018-01-01 42750
2019-01-01 45412
2020-01-01 43715
2021-01-01 49979
2022-01-01 51553

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