Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wheeler County, NE
Series ID MHICILBNE31183A052NCEN
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 20324
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26207
1994-01-01 .
1995-01-01 23322
1996-01-01 .
1997-01-01 28334
1998-01-01 27168
1999-01-01 25438
2000-01-01 26569
2001-01-01 27121
2002-01-01 26748
2003-01-01 31716
2004-01-01 31463
2005-01-01 31890
2006-01-01 28621
2007-01-01 30674
2008-01-01 30072
2009-01-01 28338
2010-01-01 31017
2011-01-01 34614
2012-01-01 36085
2013-01-01 34667
2014-01-01 41127
2015-01-01 49532
2016-01-01 42599
2017-01-01 50059
2018-01-01 47406
2019-01-01 45741
2020-01-01 43839
2021-01-01 44537
2022-01-01 49151

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