Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mecklenburg County, NC
Series ID MHICIUBNC37119A052NCEN
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 34029
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39360
1994-01-01 .
1995-01-01 44100
1996-01-01 .
1997-01-01 48001
1998-01-01 48706
1999-01-01 50679
2000-01-01 54363
2001-01-01 53878
2002-01-01 53303
2003-01-01 51996
2004-01-01 52609
2005-01-01 51746
2006-01-01 53483
2007-01-01 57648
2008-01-01 59072
2009-01-01 54685
2010-01-01 53571
2011-01-01 53254
2012-01-01 56770
2013-01-01 56392
2014-01-01 61112
2015-01-01 58126
2016-01-01 65338
2017-01-01 67499
2018-01-01 66745
2019-01-01 71807
2020-01-01 74429
2021-01-01 77387
2022-01-01 83000

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