Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hardin County, IL
Series ID MHICILBIL17069A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:12 PM 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 14727
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18000
1994-01-01 .
1995-01-01 19250
1996-01-01 .
1997-01-01 20919
1998-01-01 23230
1999-01-01 26174
2000-01-01 26932
2001-01-01 26121
2002-01-01 26305
2003-01-01 27890
2004-01-01 28516
2005-01-01 29850
2006-01-01 28755
2007-01-01 30043
2008-01-01 28426
2009-01-01 29891
2010-01-01 31053
2011-01-01 32025
2012-01-01 33130
2013-01-01 32869
2014-01-01 33483
2015-01-01 35152
2016-01-01 34973
2017-01-01 36218
2018-01-01 37448
2019-01-01 39765
2020-01-01 33667
2021-01-01 42241
2022-01-01 40768

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