Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Quay County, NM
Series ID MHICILBNM35037A052NCEN
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 1:54 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 16666
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18004
1994-01-01 .
1995-01-01 17735
1996-01-01 .
1997-01-01 19840
1998-01-01 19061
1999-01-01 22107
2000-01-01 23108
2001-01-01 22402
2002-01-01 21458
2003-01-01 22119
2004-01-01 23224
2005-01-01 23290
2006-01-01 24252
2007-01-01 23683
2008-01-01 27549
2009-01-01 24720
2010-01-01 25250
2011-01-01 27460
2012-01-01 27740
2013-01-01 27546
2014-01-01 25991
2015-01-01 26589
2016-01-01 26229
2017-01-01 26711
2018-01-01 29403
2019-01-01 30410
2020-01-01 32683
2021-01-01 31534
2022-01-01 34875

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