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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, IA
Series ID MHICIUBIA19065A052NCEN
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 7:05 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 25071
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28204
1994-01-01 .
1995-01-01 30648
1996-01-01 .
1997-01-01 34379
1998-01-01 35501
1999-01-01 34841
2000-01-01 36518
2001-01-01 35661
2002-01-01 35868
2003-01-01 35678
2004-01-01 37975
2005-01-01 38084
2006-01-01 38746
2007-01-01 42638
2008-01-01 43900
2009-01-01 45580
2010-01-01 44789
2011-01-01 45036
2012-01-01 46177
2013-01-01 48555
2014-01-01 48660
2015-01-01 51062
2016-01-01 55301
2017-01-01 49721
2018-01-01 54023
2019-01-01 58410
2020-01-01 59192
2021-01-01 60097
2022-01-01 62369
2023-01-01 68135
2024-01-01 70337

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