Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for La Crosse County, WI
Series ID MHICIUBWI55063A052NCEN
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 1:09 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 29112
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34148
1994-01-01 .
1995-01-01 38254
1996-01-01 .
1997-01-01 41598
1998-01-01 43522
1999-01-01 42118
2000-01-01 44303
2001-01-01 43273
2002-01-01 43773
2003-01-01 43865
2004-01-01 44862
2005-01-01 45887
2006-01-01 47157
2007-01-01 51149
2008-01-01 51216
2009-01-01 52048
2010-01-01 49569
2011-01-01 52950
2012-01-01 50972
2013-01-01 54455
2014-01-01 52738
2015-01-01 54865
2016-01-01 59247
2017-01-01 59688
2018-01-01 63880
2019-01-01 63468
2020-01-01 67594
2021-01-01 66992
2022-01-01 74642

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