Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harnett County, NC
Series ID MHICIUBNC37085A052NCEN
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 1:51 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 24047
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28288
1994-01-01 .
1995-01-01 32005
1996-01-01 .
1997-01-01 34887
1998-01-01 36610
1999-01-01 35782
2000-01-01 38179
2001-01-01 37643
2002-01-01 37073
2003-01-01 37975
2004-01-01 38716
2005-01-01 40800
2006-01-01 43025
2007-01-01 41807
2008-01-01 46756
2009-01-01 46101
2010-01-01 43767
2011-01-01 43049
2012-01-01 47478
2013-01-01 47670
2014-01-01 48636
2015-01-01 51427
2016-01-01 53236
2017-01-01 53531
2018-01-01 54007
2019-01-01 59732
2020-01-01 60943
2021-01-01 65506
2022-01-01 69609

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