Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, KS
Series ID MHICILBKS20037A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 18301
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21031
1994-01-01 .
1995-01-01 22763
1996-01-01 .
1997-01-01 25480
1998-01-01 26970
1999-01-01 27809
2000-01-01 28443
2001-01-01 27917
2002-01-01 27935
2003-01-01 29027
2004-01-01 29778
2005-01-01 30342
2006-01-01 30216
2007-01-01 32318
2008-01-01 34638
2009-01-01 31822
2010-01-01 32934
2011-01-01 31371
2012-01-01 32842
2013-01-01 33851
2014-01-01 35365
2015-01-01 35234
2016-01-01 35903
2017-01-01 36196
2018-01-01 40769
2019-01-01 38264
2020-01-01 42027
2021-01-01 42635
2022-01-01 46560
2023-01-01 48229

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