Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wichita County, KS
Series ID MHICILBKS20203A052NCEN
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 1:54 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 25369
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30465
1994-01-01 .
1995-01-01 28505
1996-01-01 .
1997-01-01 31761
1998-01-01 33705
1999-01-01 33518
2000-01-01 33068
2001-01-01 32163
2002-01-01 30034
2003-01-01 30705
2004-01-01 31385
2005-01-01 32116
2006-01-01 34142
2007-01-01 37718
2008-01-01 38635
2009-01-01 37958
2010-01-01 41668
2011-01-01 42165
2012-01-01 44034
2013-01-01 47155
2014-01-01 47744
2015-01-01 47433
2016-01-01 49620
2017-01-01 48372
2018-01-01 54378
2019-01-01 47885
2020-01-01 51717
2021-01-01 51250
2022-01-01 62997

Subscribe to the FRED newsletter


Follow us

Back to Top