Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ashe County, NC
Series ID MHICILBNC37009A052NCEN
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 3:13 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 16628
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20627
1994-01-01 .
1995-01-01 22569
1996-01-01 .
1997-01-01 23863
1998-01-01 25335
1999-01-01 26877
2000-01-01 27856
2001-01-01 27354
2002-01-01 27650
2003-01-01 28491
2004-01-01 29399
2005-01-01 29729
2006-01-01 29080
2007-01-01 32474
2008-01-01 32558
2009-01-01 30595
2010-01-01 29560
2011-01-01 31583
2012-01-01 31085
2013-01-01 32075
2014-01-01 33079
2015-01-01 32113
2016-01-01 36153
2017-01-01 36974
2018-01-01 37707
2019-01-01 37897
2020-01-01 39741
2021-01-01 40917
2022-01-01 48786
2023-01-01 49640

Subscribe to the FRED newsletter


Follow us

Back to Top