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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Howard County, NE
Series ID MHICILBNE31093A052NCEN
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 7:09 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 20885
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24819
1994-01-01 .
1995-01-01 24445
1996-01-01 .
1997-01-01 27708
1998-01-01 28889
1999-01-01 30808
2000-01-01 32325
2001-01-01 32153
2002-01-01 31905
2003-01-01 33639
2004-01-01 34663
2005-01-01 34104
2006-01-01 35218
2007-01-01 38349
2008-01-01 39742
2009-01-01 38653
2010-01-01 42825
2011-01-01 42072
2012-01-01 46305
2013-01-01 44953
2014-01-01 45694
2015-01-01 47858
2016-01-01 49972
2017-01-01 49178
2018-01-01 48533
2019-01-01 50388
2020-01-01 46994
2021-01-01 65614
2022-01-01 61678
2023-01-01 60388
2024-01-01 65900

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