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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Black Hawk County, IA
Series ID MHICILBIA19013A052NCEN
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 24773
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28611
1994-01-01 .
1995-01-01 31606
1996-01-01 .
1997-01-01 32695
1998-01-01 33839
1999-01-01 34497
2000-01-01 35258
2001-01-01 34971
2002-01-01 35777
2003-01-01 37168
2004-01-01 38750
2005-01-01 38362
2006-01-01 40461
2007-01-01 40199
2008-01-01 43482
2009-01-01 40454
2010-01-01 41686
2011-01-01 41248
2012-01-01 46192
2013-01-01 44108
2014-01-01 48926
2015-01-01 48098
2016-01-01 47848
2017-01-01 47979
2018-01-01 50181
2019-01-01 56751
2020-01-01 52861
2021-01-01 56623
2022-01-01 57560

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