Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Antelope County, NE
Series ID MHICILBNE31003A052NCEN
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 1:11 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 17857
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22656
1994-01-01 .
1995-01-01 22831
1996-01-01 .
1997-01-01 27085
1998-01-01 27640
1999-01-01 28687
2000-01-01 29562
2001-01-01 29238
2002-01-01 28859
2003-01-01 31150
2004-01-01 32726
2005-01-01 31826
2006-01-01 31096
2007-01-01 33380
2008-01-01 33799
2009-01-01 33821
2010-01-01 37057
2011-01-01 40765
2012-01-01 41075
2013-01-01 44409
2014-01-01 45617
2015-01-01 44496
2016-01-01 44655
2017-01-01 42121
2018-01-01 51471
2019-01-01 46161
2020-01-01 47640
2021-01-01 52877
2022-01-01 55864

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