Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wake County, NC
Series ID MHICIUBNC37183A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 35979
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43388
1994-01-01 .
1995-01-01 50387
1996-01-01 .
1997-01-01 54129
1998-01-01 57937
1999-01-01 58954
2000-01-01 62240
2001-01-01 60768
2002-01-01 59957
2003-01-01 60438
2004-01-01 61275
2005-01-01 59855
2006-01-01 62574
2007-01-01 62838
2008-01-01 67547
2009-01-01 65560
2010-01-01 62942
2011-01-01 64250
2012-01-01 66238
2013-01-01 67261
2014-01-01 68951
2015-01-01 71884
2016-01-01 78214
2017-01-01 80135
2018-01-01 82266
2019-01-01 86527
2020-01-01 91889
2021-01-01 94915
2022-01-01 100103
2023-01-01 105980

Subscribe to the FRED newsletter


Follow us

Back to Top