Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Butler County, KS
Series ID MHICIUBKS20015A052NCEN
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 3:12 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 33116
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39264
1994-01-01 .
1995-01-01 44601
1996-01-01 .
1997-01-01 48083
1998-01-01 50925
1999-01-01 49807
2000-01-01 52003
2001-01-01 51052
2002-01-01 51221
2003-01-01 51278
2004-01-01 52758
2005-01-01 52483
2006-01-01 55301
2007-01-01 60311
2008-01-01 61476
2009-01-01 58133
2010-01-01 59014
2011-01-01 56111
2012-01-01 62342
2013-01-01 59148
2014-01-01 64586
2015-01-01 65022
2016-01-01 63674
2017-01-01 71326
2018-01-01 70831
2019-01-01 72433
2020-01-01 78708
2021-01-01 76658
2022-01-01 84334
2023-01-01 83335

Subscribe to the FRED newsletter


Follow us

Back to Top