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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Northampton County, NC
Series ID MHICILBNC37131A052NCEN
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 14674
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18160
1994-01-01 .
1995-01-01 19505
1996-01-01 .
1997-01-01 20996
1998-01-01 23112
1999-01-01 24256
2000-01-01 25432
2001-01-01 24654
2002-01-01 24437
2003-01-01 25532
2004-01-01 26889
2005-01-01 27037
2006-01-01 25028
2007-01-01 31594
2008-01-01 28120
2009-01-01 28727
2010-01-01 29567
2011-01-01 28744
2012-01-01 28421
2013-01-01 28699
2014-01-01 29448
2015-01-01 30053
2016-01-01 32796
2017-01-01 32298
2018-01-01 33929
2019-01-01 35687
2020-01-01 36064
2021-01-01 35974
2022-01-01 48624
2023-01-01 39866
2024-01-01 46995

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