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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gates County, NC
Series ID MHICILBNC37073A052NCEN
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 20387
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24021
1994-01-01 .
1995-01-01 25547
1996-01-01 .
1997-01-01 27000
1998-01-01 28502
1999-01-01 30868
2000-01-01 32662
2001-01-01 32258
2002-01-01 32188
2003-01-01 33123
2004-01-01 35616
2005-01-01 35765
2006-01-01 36660
2007-01-01 40517
2008-01-01 40299
2009-01-01 38656
2010-01-01 39070
2011-01-01 37568
2012-01-01 40280
2013-01-01 44709
2014-01-01 44231
2015-01-01 41824
2016-01-01 41424
2017-01-01 44870
2018-01-01 47143
2019-01-01 47671
2020-01-01 48977
2021-01-01 53038
2022-01-01 60351
2023-01-01 56583
2024-01-01 60611

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