Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stanton County, KS
Series ID MHICILBKS20187A052NCEN
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 2:33 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 27108
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30599
1994-01-01 .
1995-01-01 29740
1996-01-01 .
1997-01-01 35802
1998-01-01 36197
1999-01-01 37917
2000-01-01 37170
2001-01-01 37703
2002-01-01 34078
2003-01-01 34406
2004-01-01 37041
2005-01-01 38014
2006-01-01 39449
2007-01-01 42099
2008-01-01 45660
2009-01-01 44041
2010-01-01 44932
2011-01-01 44288
2012-01-01 48279
2013-01-01 45170
2014-01-01 50490
2015-01-01 49613
2016-01-01 51818
2017-01-01 51306
2018-01-01 53515
2019-01-01 55573
2020-01-01 58090
2021-01-01 58339
2022-01-01 66408
2023-01-01 64679

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