Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buchanan County, IA
Series ID MHICIUBIA19019A052NCEN
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 1:53 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 27592
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31807
1994-01-01 .
1995-01-01 34981
1996-01-01 .
1997-01-01 39047
1998-01-01 40728
1999-01-01 40443
2000-01-01 42755
2001-01-01 42142
2002-01-01 42545
2003-01-01 42749
2004-01-01 45239
2005-01-01 47101
2006-01-01 47294
2007-01-01 51356
2008-01-01 52968
2009-01-01 55101
2010-01-01 52722
2011-01-01 56167
2012-01-01 57881
2013-01-01 59187
2014-01-01 60920
2015-01-01 60204
2016-01-01 62704
2017-01-01 67463
2018-01-01 65256
2019-01-01 70955
2020-01-01 73655
2021-01-01 70537
2022-01-01 77053

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