Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Scotland County, NC
Series ID MHICIUBNC37165A052NCEN
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 24763
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27599
1994-01-01 .
1995-01-01 31698
1996-01-01 .
1997-01-01 32411
1998-01-01 32810
1999-01-01 31946
2000-01-01 33553
2001-01-01 32120
2002-01-01 31639
2003-01-01 31739
2004-01-01 32075
2005-01-01 34260
2006-01-01 35108
2007-01-01 35974
2008-01-01 36579
2009-01-01 34786
2010-01-01 34517
2011-01-01 35231
2012-01-01 34345
2013-01-01 35371
2014-01-01 35187
2015-01-01 38488
2016-01-01 38313
2017-01-01 41059
2018-01-01 40129
2019-01-01 43228
2020-01-01 38061
2021-01-01 46657
2022-01-01 51007

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