Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, KS
Series ID MHICILBKS20201A052NCEN
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 3:13 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 16769
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21146
1994-01-01 .
1995-01-01 22071
1996-01-01 .
1997-01-01 25405
1998-01-01 25956
1999-01-01 27803
2000-01-01 28465
2001-01-01 28181
2002-01-01 27498
2003-01-01 28671
2004-01-01 31337
2005-01-01 29236
2006-01-01 32533
2007-01-01 33224
2008-01-01 37106
2009-01-01 34013
2010-01-01 37311
2011-01-01 36193
2012-01-01 40325
2013-01-01 40839
2014-01-01 39940
2015-01-01 42139
2016-01-01 41118
2017-01-01 43963
2018-01-01 43096
2019-01-01 41897
2020-01-01 48213
2021-01-01 50494
2022-01-01 57712
2023-01-01 52232

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