Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Monterey County, CA
Series ID MHICIUBCA06053A052NCEN
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 1:10 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 31516
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35590
1994-01-01 .
1995-01-01 37331
1996-01-01 .
1997-01-01 41277
1998-01-01 43397
1999-01-01 46155
2000-01-01 50600
2001-01-01 49451
2002-01-01 49040
2003-01-01 48452
2004-01-01 49910
2005-01-01 58058
2006-01-01 56812
2007-01-01 58670
2008-01-01 60974
2009-01-01 59692
2010-01-01 56013
2011-01-01 54864
2012-01-01 58662
2013-01-01 58378
2014-01-01 59509
2015-01-01 61896
2016-01-01 65759
2017-01-01 72542
2018-01-01 72733
2019-01-01 79257
2020-01-01 87374
2021-01-01 83465
2022-01-01 94129

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