Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Trempealeau County, WI
Series ID MHICILBWI55121A052NCEN
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 20286
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24993
1994-01-01 .
1995-01-01 26647
1996-01-01 .
1997-01-01 28923
1998-01-01 31222
1999-01-01 34682
2000-01-01 36636
2001-01-01 36224
2002-01-01 36750
2003-01-01 37500
2004-01-01 39659
2005-01-01 38969
2006-01-01 41579
2007-01-01 43118
2008-01-01 46008
2009-01-01 42603
2010-01-01 40554
2011-01-01 43720
2012-01-01 45465
2013-01-01 48153
2014-01-01 47434
2015-01-01 50075
2016-01-01 50491
2017-01-01 52491
2018-01-01 53736
2019-01-01 57404
2020-01-01 54302
2021-01-01 59269
2022-01-01 62425

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