Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, NC
Series ID MHICIUBNC37109A052NCEN
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 3:11 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 30684
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34825
1994-01-01 .
1995-01-01 38035
1996-01-01 .
1997-01-01 38845
1998-01-01 40077
1999-01-01 41966
2000-01-01 44411
2001-01-01 43782
2002-01-01 44013
2003-01-01 44963
2004-01-01 46369
2005-01-01 48366
2006-01-01 47076
2007-01-01 51901
2008-01-01 53184
2009-01-01 50900
2010-01-01 48308
2011-01-01 54882
2012-01-01 50839
2013-01-01 54168
2014-01-01 52914
2015-01-01 52699
2016-01-01 53340
2017-01-01 61663
2018-01-01 68298
2019-01-01 74226
2020-01-01 61021
2021-01-01 79161
2022-01-01 84884
2023-01-01 85574

Subscribe to the FRED newsletter


Follow us

Back to Top