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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brunswick County, NC
Series ID MHICILBNC37019A052NCEN
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 19227
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23442
1994-01-01 .
1995-01-01 26653
1996-01-01 .
1997-01-01 27572
1998-01-01 28768
1999-01-01 31536
2000-01-01 33304
2001-01-01 32611
2002-01-01 33346
2003-01-01 35245
2004-01-01 36908
2005-01-01 35963
2006-01-01 43887
2007-01-01 39125
2008-01-01 44189
2009-01-01 41948
2010-01-01 42323
2011-01-01 39277
2012-01-01 46238
2013-01-01 44732
2014-01-01 44564
2015-01-01 45087
2016-01-01 48203
2017-01-01 52923
2018-01-01 57620
2019-01-01 60721
2020-01-01 58835
2021-01-01 61782
2022-01-01 69152
2023-01-01 72225
2024-01-01 77265

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