Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hardin County, IA
Series ID MHICILBIA19083A052NCEN
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 21754
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26008
1994-01-01 .
1995-01-01 28896
1996-01-01 .
1997-01-01 31825
1998-01-01 32910
1999-01-01 33038
2000-01-01 34012
2001-01-01 34282
2002-01-01 34492
2003-01-01 34723
2004-01-01 37066
2005-01-01 34992
2006-01-01 36711
2007-01-01 40639
2008-01-01 42276
2009-01-01 41627
2010-01-01 43183
2011-01-01 42639
2012-01-01 45000
2013-01-01 47587
2014-01-01 49638
2015-01-01 48555
2016-01-01 46817
2017-01-01 48344
2018-01-01 50039
2019-01-01 52549
2020-01-01 51537
2021-01-01 52668
2022-01-01 55363

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