Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stokes County, NC
Series ID MHICIUBNC37169A052NCEN
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 30657
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34132
1994-01-01 .
1995-01-01 36556
1996-01-01 .
1997-01-01 38606
1998-01-01 40967
1999-01-01 41034
2000-01-01 43764
2001-01-01 43345
2002-01-01 43806
2003-01-01 44404
2004-01-01 43593
2005-01-01 37722
2006-01-01 44295
2007-01-01 49618
2008-01-01 46499
2009-01-01 49567
2010-01-01 46190
2011-01-01 45889
2012-01-01 46093
2013-01-01 48377
2014-01-01 49063
2015-01-01 45753
2016-01-01 51460
2017-01-01 53088
2018-01-01 55724
2019-01-01 57689
2020-01-01 65468
2021-01-01 63790
2022-01-01 61403

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