Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wake County, NC
Series ID MHICILBNC37183A052NCEN
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 2:32 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 32372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39654
1994-01-01 .
1995-01-01 45311
1996-01-01 .
1997-01-01 48638
1998-01-01 52386
1999-01-01 52055
2000-01-01 54234
2001-01-01 53486
2002-01-01 52819
2003-01-01 53833
2004-01-01 54608
2005-01-01 55627
2006-01-01 59514
2007-01-01 60574
2008-01-01 63427
2009-01-01 61981
2010-01-01 60246
2011-01-01 60622
2012-01-01 61976
2013-01-01 63605
2014-01-01 64949
2015-01-01 69374
2016-01-01 74132
2017-01-01 75147
2018-01-01 78072
2019-01-01 82227
2020-01-01 85637
2021-01-01 88201
2022-01-01 94095
2023-01-01 100188

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