Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, KS
Series ID MHICIUBKS20037A052NCEN
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 22680
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25383
1994-01-01 .
1995-01-01 28538
1996-01-01 .
1997-01-01 31388
1998-01-01 32825
1999-01-01 31596
2000-01-01 32870
2001-01-01 31897
2002-01-01 31929
2003-01-01 32805
2004-01-01 33662
2005-01-01 34758
2006-01-01 33074
2007-01-01 37907
2008-01-01 39941
2009-01-01 37684
2010-01-01 37880
2011-01-01 36789
2012-01-01 37888
2013-01-01 40065
2014-01-01 41617
2015-01-01 41044
2016-01-01 43139
2017-01-01 42726
2018-01-01 46935
2019-01-01 47182
2020-01-01 51401
2021-01-01 52801
2022-01-01 57110

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