Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Holt County, NE
Series ID MHICIUBNE31089A052NCEN
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 23872
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28726
1994-01-01 .
1995-01-01 30254
1996-01-01 .
1997-01-01 32701
1998-01-01 32052
1999-01-01 32653
2000-01-01 34568
2001-01-01 33759
2002-01-01 33696
2003-01-01 35281
2004-01-01 37500
2005-01-01 36604
2006-01-01 38179
2007-01-01 40843
2008-01-01 44573
2009-01-01 42664
2010-01-01 48389
2011-01-01 46817
2012-01-01 47586
2013-01-01 48250
2014-01-01 50385
2015-01-01 54981
2016-01-01 58206
2017-01-01 54594
2018-01-01 60171
2019-01-01 59827
2020-01-01 63094
2021-01-01 66570
2022-01-01 65437

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