Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, IL
Series ID MHICILBIL17033A052NCEN
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 22315
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26466
1994-01-01 .
1995-01-01 26860
1996-01-01 .
1997-01-01 29324
1998-01-01 30967
1999-01-01 30860
2000-01-01 32064
2001-01-01 31965
2002-01-01 32556
2003-01-01 33369
2004-01-01 35259
2005-01-01 34527
2006-01-01 36092
2007-01-01 38278
2008-01-01 38852
2009-01-01 37292
2010-01-01 38378
2011-01-01 42410
2012-01-01 40901
2013-01-01 43440
2014-01-01 42420
2015-01-01 45568
2016-01-01 42476
2017-01-01 46265
2018-01-01 47553
2019-01-01 45573
2020-01-01 50400
2021-01-01 53597
2022-01-01 61149
2023-01-01 57210

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