Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mecklenburg County, NC
Series ID MHICILBNC37119A052NCEN
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 30456
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35654
1994-01-01 .
1995-01-01 39196
1996-01-01 .
1997-01-01 42685
1998-01-01 43346
1999-01-01 44919
2000-01-01 47555
2001-01-01 47529
2002-01-01 46987
2003-01-01 46337
2004-01-01 46920
2005-01-01 49221
2006-01-01 50950
2007-01-01 54579
2008-01-01 55514
2009-01-01 51632
2010-01-01 51155
2011-01-01 50968
2012-01-01 54014
2013-01-01 52922
2014-01-01 56986
2015-01-01 55932
2016-01-01 61056
2017-01-01 64001
2018-01-01 62273
2019-01-01 67103
2020-01-01 70251
2021-01-01 72889
2022-01-01 78290

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