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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dallas County, IA
Series ID MHICILBIA19049A052NCEN
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 27923
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33027
1994-01-01 .
1995-01-01 37252
1996-01-01 .
1997-01-01 42626
1998-01-01 46393
1999-01-01 46161
2000-01-01 47675
2001-01-01 48362
2002-01-01 50570
2003-01-01 52581
2004-01-01 55786
2005-01-01 58132
2006-01-01 57074
2007-01-01 63232
2008-01-01 63579
2009-01-01 66270
2010-01-01 63670
2011-01-01 67202
2012-01-01 68190
2013-01-01 74175
2014-01-01 73543
2015-01-01 75881
2016-01-01 75084
2017-01-01 84571
2018-01-01 81747
2019-01-01 90131
2020-01-01 81736
2021-01-01 87852
2022-01-01 99780

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