Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Taos County, NM
Series ID MHICIUBNM35055A052NCEN
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 3:12 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 17879
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21140
1994-01-01 .
1995-01-01 23629
1996-01-01 .
1997-01-01 25634
1998-01-01 27577
1999-01-01 27346
2000-01-01 28966
2001-01-01 28834
2002-01-01 29277
2003-01-01 30669
2004-01-01 31417
2005-01-01 33698
2006-01-01 34586
2007-01-01 36056
2008-01-01 39306
2009-01-01 34465
2010-01-01 35819
2011-01-01 35729
2012-01-01 31832
2013-01-01 36289
2014-01-01 38936
2015-01-01 39947
2016-01-01 37037
2017-01-01 38449
2018-01-01 42433
2019-01-01 47169
2020-01-01 49359
2021-01-01 50418
2022-01-01 54359
2023-01-01 58875

Subscribe to the FRED newsletter


Follow us

Back to Top