Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rawlins County, KS
Series ID MHICILBKS20153A052NCEN
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 18878
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22510
1994-01-01 .
1995-01-01 24350
1996-01-01 .
1997-01-01 26608
1998-01-01 27455
1999-01-01 30489
2000-01-01 30865
2001-01-01 29642
2002-01-01 27872
2003-01-01 29237
2004-01-01 27692
2005-01-01 28475
2006-01-01 31186
2007-01-01 32543
2008-01-01 35727
2009-01-01 33876
2010-01-01 36541
2011-01-01 37004
2012-01-01 40310
2013-01-01 41786
2014-01-01 40398
2015-01-01 42740
2016-01-01 42809
2017-01-01 39777
2018-01-01 41488
2019-01-01 44627
2020-01-01 46687
2021-01-01 44874
2022-01-01 52131

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