Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Macoupin County, IL
Series ID MHICIUBIL17117A052NCEN
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 27021
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30797
1994-01-01 .
1995-01-01 34185
1996-01-01 .
1997-01-01 37003
1998-01-01 38395
1999-01-01 38531
2000-01-01 40600
2001-01-01 39669
2002-01-01 40098
2003-01-01 41124
2004-01-01 42809
2005-01-01 44409
2006-01-01 45999
2007-01-01 47062
2008-01-01 48138
2009-01-01 48848
2010-01-01 49475
2011-01-01 50182
2012-01-01 51547
2013-01-01 53694
2014-01-01 51640
2015-01-01 54085
2016-01-01 56767
2017-01-01 56309
2018-01-01 58242
2019-01-01 58945
2020-01-01 56873
2021-01-01 61988
2022-01-01 74799
2023-01-01 76461

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