Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, IL
Series ID MHICILBIL17055A052NCEN
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 2:33 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 18150
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20254
1994-01-01 .
1995-01-01 21232
1996-01-01 .
1997-01-01 22461
1998-01-01 23429
1999-01-01 26316
2000-01-01 27369
2001-01-01 27197
2002-01-01 27959
2003-01-01 29251
2004-01-01 30407
2005-01-01 29731
2006-01-01 30024
2007-01-01 32064
2008-01-01 31841
2009-01-01 30479
2010-01-01 30771
2011-01-01 34658
2012-01-01 36387
2013-01-01 33129
2014-01-01 35109
2015-01-01 40354
2016-01-01 36139
2017-01-01 37573
2018-01-01 38338
2019-01-01 40512
2020-01-01 46313
2021-01-01 46965
2022-01-01 45244
2023-01-01 47411

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