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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherman County, NE
Series ID MHICILBNE31163A052NCEN
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 17928
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20787
1994-01-01 .
1995-01-01 17945
1996-01-01 .
1997-01-01 22161
1998-01-01 22451
1999-01-01 26243
2000-01-01 27436
2001-01-01 27702
2002-01-01 26977
2003-01-01 29804
2004-01-01 31240
2005-01-01 30585
2006-01-01 30335
2007-01-01 32493
2008-01-01 34633
2009-01-01 31934
2010-01-01 34520
2011-01-01 37730
2012-01-01 38152
2013-01-01 37246
2014-01-01 39767
2015-01-01 38261
2016-01-01 39460
2017-01-01 51860
2018-01-01 43142
2019-01-01 43043
2020-01-01 42401
2021-01-01 48564
2022-01-01 52561

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