Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sangamon County, IL
Series ID MHICIUBIL17167A052NCEN
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 1:10 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 32487
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36830
1994-01-01 .
1995-01-01 40200
1996-01-01 .
1997-01-01 43743
1998-01-01 45823
1999-01-01 45510
2000-01-01 47695
2001-01-01 47206
2002-01-01 47929
2003-01-01 47700
2004-01-01 48926
2005-01-01 47705
2006-01-01 50324
2007-01-01 50229
2008-01-01 55194
2009-01-01 54643
2010-01-01 53944
2011-01-01 53651
2012-01-01 57778
2013-01-01 57539
2014-01-01 58035
2015-01-01 59860
2016-01-01 58322
2017-01-01 63738
2018-01-01 65598
2019-01-01 64578
2020-01-01 64934
2021-01-01 71960
2022-01-01 77380

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