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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McPherson County, NE
Series ID MHICILBNE31117A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 19275
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23842
1994-01-01 .
1995-01-01 14501
1996-01-01 .
1997-01-01 14984
1998-01-01 11387
1999-01-01 23296
2000-01-01 25595
2001-01-01 25298
2002-01-01 25493
2003-01-01 29214
2004-01-01 33300
2005-01-01 30476
2006-01-01 34175
2007-01-01 33887
2008-01-01 33370
2009-01-01 34476
2010-01-01 30848
2011-01-01 34116
2012-01-01 37148
2013-01-01 36803
2014-01-01 60686
2015-01-01 51027
2016-01-01 43769
2017-01-01 44275
2018-01-01 47430
2019-01-01 45624
2020-01-01 46344
2021-01-01 47338
2022-01-01 45935
2023-01-01 47914
2024-01-01 58847

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