Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Trempealeau County, WI
Series ID MHICIUBWI55121A052NCEN
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 1:51 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 24528
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29207
1994-01-01 .
1995-01-01 32182
1996-01-01 .
1997-01-01 34660
1998-01-01 36937
1999-01-01 39304
2000-01-01 42128
2001-01-01 41208
2002-01-01 41835
2003-01-01 42336
2004-01-01 44910
2005-01-01 42985
2006-01-01 45808
2007-01-01 49968
2008-01-01 51293
2009-01-01 47391
2010-01-01 46296
2011-01-01 48686
2012-01-01 51667
2013-01-01 53753
2014-01-01 53098
2015-01-01 57315
2016-01-01 55793
2017-01-01 59611
2018-01-01 60220
2019-01-01 65970
2020-01-01 65196
2021-01-01 67201
2022-01-01 73943

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