Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kearney County, NE

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kearney County, NE
Series ID MHICIUBNE31099A052NCEN
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 1:51 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 29640
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35907
1994-01-01 .
1995-01-01 37455
1996-01-01 .
1997-01-01 41961
1998-01-01 41334
1999-01-01 40737
2000-01-01 43227
2001-01-01 42054
2002-01-01 41775
2003-01-01 42999
2004-01-01 45549
2005-01-01 46252
2006-01-01 52425
2007-01-01 50892
2008-01-01 54211
2009-01-01 56122
2010-01-01 56847
2011-01-01 57814
2012-01-01 60205
2013-01-01 62851
2014-01-01 62403
2015-01-01 55191
2016-01-01 73476
2017-01-01 68721
2018-01-01 70157
2019-01-01 71969
2020-01-01 71407
2021-01-01 79925
2022-01-01 83849

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