Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harlan County, NE
Series ID MHICILBNE31083A052NCEN
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 19558
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22130
1994-01-01 .
1995-01-01 22064
1996-01-01 .
1997-01-01 24354
1998-01-01 25001
1999-01-01 28758
2000-01-01 29678
2001-01-01 29443
2002-01-01 28283
2003-01-01 30354
2004-01-01 31212
2005-01-01 30467
2006-01-01 33126
2007-01-01 33215
2008-01-01 35947
2009-01-01 36957
2010-01-01 43278
2011-01-01 40798
2012-01-01 40662
2013-01-01 41417
2014-01-01 42067
2015-01-01 43156
2016-01-01 40731
2017-01-01 43540
2018-01-01 44114
2019-01-01 47432
2020-01-01 46370
2021-01-01 52400
2022-01-01 54807

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