Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Robeson County, NC
Series ID MHICIUBNC37155A052NCEN
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 1:10 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 20255
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23740
1994-01-01 .
1995-01-01 28057
1996-01-01 .
1997-01-01 28475
1998-01-01 28835
1999-01-01 28211
2000-01-01 29911
2001-01-01 28600
2002-01-01 27966
2003-01-01 28598
2004-01-01 28997
2005-01-01 29041
2006-01-01 29795
2007-01-01 32416
2008-01-01 33381
2009-01-01 29391
2010-01-01 33019
2011-01-01 33038
2012-01-01 32286
2013-01-01 31965
2014-01-01 31964
2015-01-01 34005
2016-01-01 36872
2017-01-01 36059
2018-01-01 37507
2019-01-01 39253
2020-01-01 42968
2021-01-01 41742
2022-01-01 42575

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