Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Winnebago County, WI
Series ID MHICILBWI55139A052NCEN
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 28287
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33839
1994-01-01 .
1995-01-01 37724
1996-01-01 .
1997-01-01 40941
1998-01-01 43291
1999-01-01 42411
2000-01-01 43334
2001-01-01 42864
2002-01-01 43091
2003-01-01 44284
2004-01-01 45284
2005-01-01 44868
2006-01-01 47201
2007-01-01 48932
2008-01-01 50693
2009-01-01 45377
2010-01-01 46597
2011-01-01 46372
2012-01-01 49871
2013-01-01 48359
2014-01-01 50845
2015-01-01 50620
2016-01-01 54832
2017-01-01 54561
2018-01-01 54786
2019-01-01 56227
2020-01-01 59407
2021-01-01 61810
2022-01-01 66916

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