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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, IA
Series ID MHICILBIA19065A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 20559
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23674
1994-01-01 .
1995-01-01 24462
1996-01-01 .
1997-01-01 28207
1998-01-01 29396
1999-01-01 30579
2000-01-01 31421
2001-01-01 31104
2002-01-01 31267
2003-01-01 31414
2004-01-01 33490
2005-01-01 32221
2006-01-01 33784
2007-01-01 36495
2008-01-01 37512
2009-01-01 38038
2010-01-01 37537
2011-01-01 38058
2012-01-01 39901
2013-01-01 40923
2014-01-01 42384
2015-01-01 44168
2016-01-01 49083
2017-01-01 43057
2018-01-01 47763
2019-01-01 47874
2020-01-01 47316
2021-01-01 52635
2022-01-01 50829
2023-01-01 56071
2024-01-01 56913

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