Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Black Hawk County, IA
Series ID MHICIUBIA19013A052NCEN
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 1:11 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 29175
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32961
1994-01-01 .
1995-01-01 37415
1996-01-01 .
1997-01-01 38577
1998-01-01 39686
1999-01-01 39115
2000-01-01 40679
2001-01-01 39863
2002-01-01 40793
2003-01-01 41891
2004-01-01 43645
2005-01-01 42643
2006-01-01 44005
2007-01-01 43730
2008-01-01 47812
2009-01-01 45052
2010-01-01 46406
2011-01-01 44826
2012-01-01 51058
2013-01-01 48454
2014-01-01 53736
2015-01-01 52572
2016-01-01 53926
2017-01-01 52873
2018-01-01 54459
2019-01-01 63269
2020-01-01 59321
2021-01-01 64809
2022-01-01 66480

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