Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coles County, IL
Series ID MHICILBIL17029A052NCEN
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 3:13 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 24165
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28004
1994-01-01 .
1995-01-01 29565
1996-01-01 .
1997-01-01 32148
1998-01-01 33511
1999-01-01 31129
2000-01-01 31482
2001-01-01 31354
2002-01-01 31447
2003-01-01 31699
2004-01-01 32234
2005-01-01 33786
2006-01-01 32160
2007-01-01 33057
2008-01-01 35989
2009-01-01 34073
2010-01-01 35186
2011-01-01 37601
2012-01-01 33227
2013-01-01 36177
2014-01-01 37477
2015-01-01 39113
2016-01-01 38587
2017-01-01 41689
2018-01-01 43000
2019-01-01 45826
2020-01-01 41117
2021-01-01 44074
2022-01-01 52422
2023-01-01 50891

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