NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for DeBaca County, NM Series ID: MHICILBNM35011A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 11813 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 15230 1994-01-01 . 1995-01-01 17412 1996-01-01 . 1997-01-01 18570 1998-01-01 19063 1999-01-01 22647 2000-01-01 23896 2001-01-01 23531 2002-01-01 23361 2003-01-01 24567 2004-01-01 25664 2005-01-01 25092 2006-01-01 25552 2007-01-01 26337 2008-01-01 26461 2009-01-01 25810 2010-01-01 28652 2011-01-01 26879 2012-01-01 28082 2013-01-01 29710 2014-01-01 30168 2015-01-01 30054 2016-01-01 29261 2017-01-01 29419 2018-01-01 31176 2019-01-01 31210 2020-01-01 35676 2021-01-01 34962 2022-01-01 39783