Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hyde County, NC
Series ID MHICIUBNC37095A052NCEN
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 19219
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21785
1994-01-01 .
1995-01-01 23578
1996-01-01 .
1997-01-01 26658
1998-01-01 27574
1999-01-01 27541
2000-01-01 30016
2001-01-01 28815
2002-01-01 28603
2003-01-01 29282
2004-01-01 30033
2005-01-01 34457
2006-01-01 34346
2007-01-01 35718
2008-01-01 38430
2009-01-01 36400
2010-01-01 38408
2011-01-01 39239
2012-01-01 38722
2013-01-01 40216
2014-01-01 40761
2015-01-01 40968
2016-01-01 42035
2017-01-01 45555
2018-01-01 45129
2019-01-01 48319
2020-01-01 51131
2021-01-01 49684
2022-01-01 54155

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