Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wallace County, KS
Series ID MHICILBKS20199A052NCEN
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 21107
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25352
1994-01-01 .
1995-01-01 22987
1996-01-01 .
1997-01-01 25358
1998-01-01 29126
1999-01-01 31617
2000-01-01 32234
2001-01-01 31750
2002-01-01 28438
2003-01-01 30028
2004-01-01 30616
2005-01-01 30400
2006-01-01 31828
2007-01-01 34926
2008-01-01 36481
2009-01-01 38458
2010-01-01 39406
2011-01-01 42951
2012-01-01 44375
2013-01-01 41428
2014-01-01 43849
2015-01-01 43454
2016-01-01 42777
2017-01-01 47342
2018-01-01 45819
2019-01-01 48381
2020-01-01 48362
2021-01-01 51929
2022-01-01 54361

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