Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, WI
Series ID MHICILBWI55031A052NCEN
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 1:53 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 20266
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23910
1994-01-01 .
1995-01-01 26685
1996-01-01 .
1997-01-01 28448
1998-01-01 30627
1999-01-01 32424
2000-01-01 33890
2001-01-01 33280
2002-01-01 33729
2003-01-01 35015
2004-01-01 36392
2005-01-01 36937
2006-01-01 38870
2007-01-01 36270
2008-01-01 42543
2009-01-01 39366
2010-01-01 38983
2011-01-01 42552
2012-01-01 41009
2013-01-01 40101
2014-01-01 43346
2015-01-01 44825
2016-01-01 47365
2017-01-01 49666
2018-01-01 47218
2019-01-01 52708
2020-01-01 56989
2021-01-01 53989
2022-01-01 61072

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