Federal Reserve Economic Data: Your trusted data source since 1991

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

NOTE: To improve accessibility of data for all users, this file was converted from a text format to an html table.

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coffey County, KS
Series ID MHICIUBKS20031A052NCEN
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 1:10 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 26963
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31411
1994-01-01 .
1995-01-01 32752
1996-01-01 .
1997-01-01 37377
1998-01-01 37847
1999-01-01 39046
2000-01-01 40798
2001-01-01 40970
2002-01-01 42078
2003-01-01 44130
2004-01-01 45846
2005-01-01 47032
2006-01-01 48700
2007-01-01 51055
2008-01-01 52846
2009-01-01 51753
2010-01-01 54471
2011-01-01 59055
2012-01-01 55259
2013-01-01 58017
2014-01-01 61373
2015-01-01 62663
2016-01-01 62877
2017-01-01 60001
2018-01-01 64474
2019-01-01 69939
2020-01-01 67340
2021-01-01 72582
2022-01-01 77349

Subscribe to the FRED newsletter


Follow us

Back to Top