Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Macoupin County, IL
Series ID MHICILBIL17117A052NCEN
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 22513
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26269
1994-01-01 .
1995-01-01 28042
1996-01-01 .
1997-01-01 30848
1998-01-01 32313
1999-01-01 33855
2000-01-01 34968
2001-01-01 34580
2002-01-01 34925
2003-01-01 36248
2004-01-01 37741
2005-01-01 37418
2006-01-01 40320
2007-01-01 40988
2008-01-01 41881
2009-01-01 40499
2010-01-01 42515
2011-01-01 42868
2012-01-01 45151
2013-01-01 46484
2014-01-01 45448
2015-01-01 46835
2016-01-01 48199
2017-01-01 47203
2018-01-01 48576
2019-01-01 49403
2020-01-01 49751
2021-01-01 53522
2022-01-01 64961
2023-01-01 64051

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