Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winnebago County, IL
Series ID MHICIUBIL17201A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 32839
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36741
1994-01-01 .
1995-01-01 41953
1996-01-01 .
1997-01-01 43815
1998-01-01 45063
1999-01-01 45171
2000-01-01 47849
2001-01-01 46490
2002-01-01 45766
2003-01-01 45359
2004-01-01 46681
2005-01-01 45301
2006-01-01 47225
2007-01-01 50719
2008-01-01 49534
2009-01-01 46200
2010-01-01 46193
2011-01-01 46443
2012-01-01 51508
2013-01-01 48915
2014-01-01 49985
2015-01-01 52313
2016-01-01 52486
2017-01-01 55389
2018-01-01 56104
2019-01-01 63153
2020-01-01 58213
2021-01-01 60350
2022-01-01 65694
2023-01-01 68653

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