Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, IL
Series ID MHICIUBIL17033A052NCEN
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 3:12 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 26833
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31007
1994-01-01 .
1995-01-01 33073
1996-01-01 .
1997-01-01 35691
1998-01-01 37307
1999-01-01 35223
2000-01-01 37296
2001-01-01 36711
2002-01-01 37421
2003-01-01 37916
2004-01-01 40100
2005-01-01 37672
2006-01-01 41660
2007-01-01 45170
2008-01-01 46277
2009-01-01 43852
2010-01-01 44846
2011-01-01 50204
2012-01-01 47825
2013-01-01 51594
2014-01-01 49358
2015-01-01 54144
2016-01-01 50272
2017-01-01 53159
2018-01-01 57073
2019-01-01 55131
2020-01-01 64864
2021-01-01 64659
2022-01-01 71517
2023-01-01 71126

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