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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Logan County, ND
Series ID MHICILBND38047A052NCEN
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 15153
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20206
1994-01-01 .
1995-01-01 18853
1996-01-01 .
1997-01-01 20518
1998-01-01 22004
1999-01-01 25255
2000-01-01 27031
2001-01-01 26490
2002-01-01 25464
2003-01-01 28938
2004-01-01 29394
2005-01-01 29001
2006-01-01 31155
2007-01-01 30479
2008-01-01 32143
2009-01-01 31847
2010-01-01 34776
2011-01-01 36623
2012-01-01 41574
2013-01-01 43940
2014-01-01 40292
2015-01-01 45306
2016-01-01 47750
2017-01-01 41929
2018-01-01 45074
2019-01-01 45622
2020-01-01 40353
2021-01-01 45066
2022-01-01 53605
2023-01-01 53107
2024-01-01 59360

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