Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hertford County, NC
Series ID MHICIUBNC37091A052NCEN
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 20669
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22700
1994-01-01 .
1995-01-01 26254
1996-01-01 .
1997-01-01 26845
1998-01-01 28087
1999-01-01 27176
2000-01-01 29020
2001-01-01 27762
2002-01-01 28220
2003-01-01 28740
2004-01-01 30096
2005-01-01 31756
2006-01-01 31432
2007-01-01 33180
2008-01-01 37329
2009-01-01 33734
2010-01-01 35340
2011-01-01 34645
2012-01-01 34862
2013-01-01 36107
2014-01-01 32021
2015-01-01 37106
2016-01-01 38904
2017-01-01 41660
2018-01-01 41496
2019-01-01 46264
2020-01-01 50436
2021-01-01 44934
2022-01-01 48127

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