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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Davis County, IA
Series ID MHICILBIA19051A052NCEN
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 18330
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23145
1994-01-01 .
1995-01-01 24105
1996-01-01 .
1997-01-01 27243
1998-01-01 27406
1999-01-01 30001
2000-01-01 31508
2001-01-01 31113
2002-01-01 31120
2003-01-01 31963
2004-01-01 34069
2005-01-01 33644
2006-01-01 35990
2007-01-01 37154
2008-01-01 39679
2009-01-01 39321
2010-01-01 36810
2011-01-01 36829
2012-01-01 38706
2013-01-01 40613
2014-01-01 42603
2015-01-01 45093
2016-01-01 45210
2017-01-01 46127
2018-01-01 49672
2019-01-01 50889
2020-01-01 48724
2021-01-01 71276
2022-01-01 59069
2023-01-01 58245
2024-01-01 62758

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