Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, NE
Series ID MHICIUBNE31107A052NCEN
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 21215
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24871
1994-01-01 .
1995-01-01 27151
1996-01-01 .
1997-01-01 29840
1998-01-01 29603
1999-01-01 29301
2000-01-01 30932
2001-01-01 30137
2002-01-01 29644
2003-01-01 32714
2004-01-01 33737
2005-01-01 35236
2006-01-01 35012
2007-01-01 37669
2008-01-01 37292
2009-01-01 38593
2010-01-01 39534
2011-01-01 42716
2012-01-01 47904
2013-01-01 44767
2014-01-01 46385
2015-01-01 49662
2016-01-01 50437
2017-01-01 50575
2018-01-01 52072
2019-01-01 57767
2020-01-01 56532
2021-01-01 60441
2022-01-01 60017

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