Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Meade County, KS
Series ID MHICILBKS20119A052NCEN
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 21805
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27836
1994-01-01 .
1995-01-01 28032
1996-01-01 .
1997-01-01 31293
1998-01-01 35105
1999-01-01 35220
2000-01-01 36361
2001-01-01 34614
2002-01-01 32534
2003-01-01 33451
2004-01-01 35440
2005-01-01 35635
2006-01-01 37107
2007-01-01 39898
2008-01-01 43589
2009-01-01 42744
2010-01-01 44588
2011-01-01 45646
2012-01-01 47300
2013-01-01 49707
2014-01-01 48125
2015-01-01 51089
2016-01-01 50993
2017-01-01 51507
2018-01-01 62308
2019-01-01 57017
2020-01-01 45306
2021-01-01 61108
2022-01-01 60593

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