Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wyandotte County, KS
Series ID MHICILBKS20209A052NCEN
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 1:12 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 21223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24253
1994-01-01 .
1995-01-01 24749
1996-01-01 .
1997-01-01 27149
1998-01-01 28305
1999-01-01 29873
2000-01-01 30816
2001-01-01 30452
2002-01-01 30412
2003-01-01 31085
2004-01-01 31345
2005-01-01 32569
2006-01-01 35087
2007-01-01 35990
2008-01-01 36586
2009-01-01 34544
2010-01-01 35494
2011-01-01 36458
2012-01-01 35904
2013-01-01 36541
2014-01-01 35495
2015-01-01 40305
2016-01-01 41125
2017-01-01 44030
2018-01-01 44783
2019-01-01 44647
2020-01-01 48561
2021-01-01 52061
2022-01-01 55861

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