Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Guilford County, NC
Series ID MHICILBNC37081A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 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 26735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32479
1994-01-01 .
1995-01-01 34408
1996-01-01 .
1997-01-01 36989
1998-01-01 38588
1999-01-01 38846
2000-01-01 40084
2001-01-01 39207
2002-01-01 38658
2003-01-01 39384
2004-01-01 40156
2005-01-01 41405
2006-01-01 42558
2007-01-01 44402
2008-01-01 46105
2009-01-01 43145
2010-01-01 41306
2011-01-01 41940
2012-01-01 41595
2013-01-01 44237
2014-01-01 42750
2015-01-01 46097
2016-01-01 45985
2017-01-01 50643
2018-01-01 50314
2019-01-01 53020
2020-01-01 52539
2021-01-01 58245
2022-01-01 61120

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