Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Catron County, NM
Series ID MHICILBNM35003A052NCEN
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 14856
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17011
1994-01-01 .
1995-01-01 18502
1996-01-01 .
1997-01-01 19577
1998-01-01 20512
1999-01-01 21775
2000-01-01 22061
2001-01-01 21377
2002-01-01 21155
2003-01-01 22758
2004-01-01 23354
2005-01-01 23548
2006-01-01 24916
2007-01-01 26581
2008-01-01 26162
2009-01-01 27121
2010-01-01 25671
2011-01-01 34745
2012-01-01 27313
2013-01-01 29367
2014-01-01 30201
2015-01-01 33571
2016-01-01 32111
2017-01-01 30712
2018-01-01 30996
2019-01-01 32772
2020-01-01 25597
2021-01-01 35339
2022-01-01 38646

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