Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Santa Fe County, NM

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Santa Fe County, NM
Series ID MHICILBNM35049A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 PM 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 24488
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30885
1994-01-01 .
1995-01-01 34158
1996-01-01 .
1997-01-01 35028
1998-01-01 37064
1999-01-01 37838
2000-01-01 37916
2001-01-01 39060
2002-01-01 39523
2003-01-01 40518
2004-01-01 41149
2005-01-01 42819
2006-01-01 47721
2007-01-01 48912
2008-01-01 51634
2009-01-01 49421
2010-01-01 45388
2011-01-01 47007
2012-01-01 48815
2013-01-01 49389
2014-01-01 49201
2015-01-01 52348
2016-01-01 54536
2017-01-01 55496
2018-01-01 57127
2019-01-01 58043
2020-01-01 52333
2021-01-01 63724
2022-01-01 68564

Subscribe to the FRED newsletter


Follow us

Back to Top