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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Davis County, IA
Series ID MHICIUBIA19051A052NCEN
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 7:06 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 22860
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27725
1994-01-01 .
1995-01-01 30267
1996-01-01 .
1997-01-01 33437
1998-01-01 33550
1999-01-01 34158
2000-01-01 36578
2001-01-01 35665
2002-01-01 35704
2003-01-01 36256
2004-01-01 38597
2005-01-01 40002
2006-01-01 42607
2007-01-01 44430
2008-01-01 47004
2009-01-01 46161
2010-01-01 43480
2011-01-01 44517
2012-01-01 46212
2013-01-01 48341
2014-01-01 50897
2015-01-01 54609
2016-01-01 54062
2017-01-01 56827
2018-01-01 59988
2019-01-01 63411
2020-01-01 65726
2021-01-01 80184
2022-01-01 71333
2023-01-01 74575
2024-01-01 78594

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