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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Howard County, IA
Series ID MHICILBIA19089A052NCEN
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 1:54 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 18588
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23143
1994-01-01 .
1995-01-01 25498
1996-01-01 .
1997-01-01 28985
1998-01-01 30326
1999-01-01 32321
2000-01-01 33744
2001-01-01 33359
2002-01-01 33630
2003-01-01 34865
2004-01-01 36722
2005-01-01 34447
2006-01-01 39375
2007-01-01 39595
2008-01-01 38705
2009-01-01 38775
2010-01-01 37616
2011-01-01 41143
2012-01-01 44235
2013-01-01 41815
2014-01-01 45556
2015-01-01 46215
2016-01-01 45119
2017-01-01 48142
2018-01-01 48699
2019-01-01 51910
2020-01-01 52811
2021-01-01 52569
2022-01-01 59078

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