Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stokes County, NC
Series ID MHICILBNC37169A052NCEN
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 26222
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29705
1994-01-01 .
1995-01-01 30686
1996-01-01 .
1997-01-01 32613
1998-01-01 35000
1999-01-01 36131
2000-01-01 37707
2001-01-01 37656
2002-01-01 37997
2003-01-01 38949
2004-01-01 38459
2005-01-01 33963
2006-01-01 39031
2007-01-01 41428
2008-01-01 39417
2009-01-01 42922
2010-01-01 40166
2011-01-01 38405
2012-01-01 38451
2013-01-01 40727
2014-01-01 41067
2015-01-01 40025
2016-01-01 44836
2017-01-01 44408
2018-01-01 45928
2019-01-01 47023
2020-01-01 52668
2021-01-01 51736
2022-01-01 51115

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