"}],"short_description":"Track census and survey fieldwork in real time with ArcGIS Dashboards, regardless of the data collection platform.","flexible_content":[{"acf_fc_layout":"content","content":"Whether you’re conducting a population census,<\/a> agricultural census, household survey, or another large-scale field operation, one of the biggest questions during data collection is simple: How are we doing?<\/strong><\/p>\n Supervisors need to understand what is happening across their assigned areas to identify where enumerators are struggling to get participation, and census managers need a national picture of collection progress.<\/p>\n With ArcGIS Dashboards<\/a>, managers can track progress throughout collection and identify issues early enough to take corrective action, instead of waiting for end-of-day reports.<\/p>\n"},{"acf_fc_layout":"content","content":" Typical metrics tracked in census operations fall into several categories: collection progress, contact and response outcomes, enumerator and supervisor performance monitoring, and data quality indicators. Metrics like refusal rates and completion rates help to track overall progress. Enumerator specific metrics like survey duration and completed interviews are used to detect fraud.<\/p>\n These indicators are often summarized at multiple administrative levels, including Enumeration Areas (EAs), supervisor areas, districts, provinces, and national totals.<\/p>\n <\/p>\n"},{"acf_fc_layout":"content","content":" Here’s an example<\/a> of how the US Census Bureau created a spatial “response outreach” tool to identify clusters of hard to reach population.<\/p>\n","image_reference":{"ID":2982054,"id":2982054,"title":"US Census ROAM","filename":"Screenshot-2026-09-11-133012.png","filesize":722334,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/screenshot-2026-09-11-133012","alt":"","author":"266402","description":"","caption":"Response Outreach Area Mapper tool by the US Census Bureau","name":"screenshot-2026-09-11-133012","status":"inherit","uploaded_to":2982009,"date":"2026-09-11 17:30:40","modified":"2026-09-11 17:31:04","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1911,"height":987,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","medium-width":464,"medium-height":240,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","medium_large-width":768,"medium_large-height":397,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","large-width":1911,"large-height":987,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-1536x793.png","1536x1536-width":1536,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","2048x2048-width":1911,"2048x2048-height":987,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-826x427.png","card_image-width":826,"card_image-height":427,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","wide_image-width":1911,"wide_image-height":987}},"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"US Census Roam","section_title":"US Census ROAM","position":"Right","spotlight_image":{"ID":2982054,"id":2982054,"title":"US Census ROAM","filename":"Screenshot-2026-09-11-133012.png","filesize":722334,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/screenshot-2026-09-11-133012","alt":"","author":"266402","description":"","caption":"Response Outreach Area Mapper tool by the US Census Bureau","name":"screenshot-2026-09-11-133012","status":"inherit","uploaded_to":2982009,"date":"2026-09-11 17:30:40","modified":"2026-09-11 17:31:04","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1911,"height":987,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","medium-width":464,"medium-height":240,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","medium_large-width":768,"medium_large-height":397,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","large-width":1911,"large-height":987,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-1536x793.png","1536x1536-width":1536,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","2048x2048-width":1911,"2048x2048-height":987,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012-826x427.png","card_image-width":826,"card_image-height":427,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Screenshot-2026-09-11-133012.png","wide_image-width":1911,"wide_image-height":987}}},{"acf_fc_layout":"content","content":" Geography provides important context that is often missing from traditional reports. A table showing completion rates is useful, but a map can quickly reveal where<\/em> <\/strong>collection is progressing well and where additional attention is needed. Visualizing indicators spatially<\/em> can identify clusters of refusals, areas with limited field activity, or regions where additional resources may help response rates.<\/p>\n Below we will cover how you can monitor field enumeration done in Survey123\/Field Maps, other field tools like CSPro or Survey Solutions, or custom field applications.<\/em><\/p>\n"},{"acf_fc_layout":"content","content":" Collecting data in ArcGIS (with Survey123<\/a>, or Field Maps<\/a>) is the simplest way to use ArcGIS Dashboards to track progress. Your data is collected, tracked, and analyzed all in ArcGIS. As surveys are completed in the field, they are stored in ArcGIS feature layers. These layers are used directly in ArcGIS Dashboards to create a real-time view of collection activities.<\/p>\n The sample dashboard below also allows supervisors to edit surveys from the office. For instance, a supervisor can send a suspected fraudulent survey back to the enumerator to revisit, or assign it to a new enumerator.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2982010,"id":2982010,"title":"SupervisorDashVid","filename":"SupervisorDashVid.gif","filesize":28847266,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/supervisordashvid","alt":"Supervisor dashboard with a selected household survey record, household characteristics, member information, and geographic location.","author":"266402","description":"This image shows a supervisor reviewing a specific household interview. The selected record includes household number, enumerator name, village, collection date, survey status, and survey duration. Household information identifies the household head, household size, sanitation facilities, and drinking water source. Additional sections summarize household members and indicate whether child health and education records are available. A map to the right provides the approximate location of the selected household. The dashboard supports detailed inspection of individual interviews and verification of collected data.","caption":"A supervisor dashboard displaying detailed information for a selected household interview (Demo data).","name":"supervisordashvid","status":"inherit","uploaded_to":2982009,"date":"2026-09-10 19:47:17","modified":"2026-09-10 19:52:06","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1678,"height":966,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","medium-width":453,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","medium_large-width":768,"medium_large-height":442,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","large-width":1678,"large-height":966,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid-1536x884.gif","1536x1536-width":1536,"1536x1536-height":884,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","2048x2048-width":1678,"2048x2048-height":966,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid-808x465.gif","card_image-width":808,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/SupervisorDashVid.gif","wide_image-width":1678,"wide_image-height":966}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Additionally, view layers<\/em><\/a> can preserve the sensitive nature of household level data. View layers are essentially stripped down layers of the collection layer, enabling the removal of names and other sensitive information as needed. Another option is to aggregate data with analysis tools<\/a>; showing administrative level data instead of individual data. In this example we don\u2019t have names\/sensitive information in the dashboard.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2982011,"id":2982011,"title":"Tracking Dashboard for Household Survey Progress Monitoring","filename":"HouseholdDashboard.gif","filesize":9989503,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/householddashboard","alt":"Dashboard displaying 650 households, survey completion metrics, a map of household locations, and charts showing survey status by enumerator.","author":"266402","description":"This survey tracking dashboard provides an operational overview of household data collection activities. Key indicators show 650 households being tracked, with 133 incomplete interviews and 96 households classified as no response. A gauge illustrates overall survey completion progress. A map displays household locations using color-coded points to represent survey status across the survey area. A bar chart compares survey outcomes among enumerators, supporting workload monitoring and field management. Filters allow supervisors to focus on specific enumerators, villages, or survey statuses.","caption":"A dashboard used by survey supervisors to monitor household interview progress, response status, enumerator performance, and geographic coverage in near real time. (Demo Data)","name":"householddashboard","status":"inherit","uploaded_to":2982009,"date":"2026-09-10 19:55:04","modified":"2026-09-10 19:59:25","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1682,"height":972,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","medium-width":452,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","medium_large-width":768,"medium_large-height":444,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","large-width":1682,"large-height":972,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard-1536x888.gif","1536x1536-width":1536,"1536x1536-height":888,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","2048x2048-width":1682,"2048x2048-height":972,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard-805x465.gif","card_image-width":805,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/HouseholdDashboard.gif","wide_image-width":1682,"wide_image-height":972}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Not every organization uses ArcGIS tools for data collection. Many national statistical offices rely on platforms such as CSPro<\/a> or internally developed applications.<\/p>\n ArcGIS Dashboards can be integrated with these systems through a relatively simple ETL (Extract, Transform, Load) workflow. Below we\u2019ll take a look at how Esri Partner TeamDev<\/a>\u00a0integrated CSPro with ArcGIS Dashboards for household censuses in Albania and Moldova (2023 and 2024 respectively).<\/p>\n When using CSPro, data is typically collected in the field and synchronized through CSWeb, where survey submissions are stored in a MySQL database. Scheduled exports can then be generated and enriched with geographic information and operational indicators before publishing to ArcGIS Online or ArcGIS Enterprise as feature services.<\/p>\n The exact implementation will vary from organization to organization, but the overall pattern is usually the same:<\/p>\n Organizations may implement these workflows using ArcGIS Pro ModelBuilder<\/a>, Python scripts, data interoperability<\/a>, cloud-based processing environments, or other tools already in use within their existing infrastructure.<\/p>\n In Albania, they ran two ETL models. The first writes directly<\/em> into the Enterprise geodatabase.<\/a> It updates the collected data and aggregates it at three nested levels: from supervisor to enumerator passing through controller.<\/p>\n The trick is the use of the editor tracking: the model disables it, updates the data, then re-enables it, so the ‘creator’ field always stays the same. This is crucial because each level has its own dashboard and filters the view by URL parameter against that creator field. This means that each user only sees the data they own. Conversely, a\u00a0supervisor sees all the work of their controllers and enumerators and so on, cascading down, enforcing data security.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2982012,"id":2982012,"title":"Automated Survey Data Processing Workflow","filename":"ETL_Subset.png","filesize":57795,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/etl_subset","alt":"Diagram showing a multi-step data processing workflow with survey exports, validation checks, transformations, and dashboard outputs.","author":"266402","description":"This workflow diagram illustrates an automated extract, transform, and load (ETL) process used to prepare survey data for analysis and reporting. Survey records from multiple sources are exported, validated, combined, and transformed into standardized datasets. Several quality control steps identify and correct inconsistencies before the data is loaded into reporting systems. The workflow ultimately produces clean datasets and dashboard-ready outputs that support monitoring and decision-making.","caption":"An ETL workflow that automates survey data extraction, validation, transformation, and dashboard updates. Provided by TeamDev.","name":"etl_subset","status":"inherit","uploaded_to":2982009,"date":"2026-09-10 19:57:06","modified":"2026-09-10 20:00:08","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":548,"height":294,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","medium-width":464,"medium-height":249,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","medium_large-width":548,"medium_large-height":294,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","large-width":548,"large-height":294,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","1536x1536-width":548,"1536x1536-height":294,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","2048x2048-width":548,"2048x2048-height":294,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","card_image-width":548,"card_image-height":294,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/ETL_Subset.png","wide_image-width":548,"wide_image-height":294}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2982013,"id":2982013,"title":"Early Warning Indicator Dashboard Team Dev","filename":"Dashboard_TD.jpg","filesize":24599,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/national-government\/monitor-census-enumeration-with-arcgis-dashboards\/dashboard_td","alt":"Dashboard showing multiple quality and operational indicators with color-coded warning thresholds and a supporting map.","author":"266402","description":"This dashboard presents several survey monitoring indicators using large numeric displays and color-coded alerts. Red values indicate potential issues requiring attention, while green values represent acceptable conditions. Indicators include completion rates, abnormal values, response quality measures, and timing metrics. A small map in the lower-left corner provides geographic context for flagged observations. The dashboard is designed to help supervisors quickly identify risks and prioritize corrective actions during field operations.","caption":"A monitoring dashboard highlighting key survey quality and operational indicators using threshold-based alerts. Provided by TeamDev","name":"dashboard_td","status":"inherit","uploaded_to":2982009,"date":"2026-09-10 19:59:32","modified":"2026-09-10 20:00:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":409,"height":257,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","medium-width":409,"medium-height":257,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","medium_large-width":409,"medium_large-height":257,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","large-width":409,"large-height":257,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","1536x1536-width":409,"1536x1536-height":257,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","2048x2048-width":409,"2048x2048-height":257,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","card_image-width":409,"card_image-height":257,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/09\/Dashboard_TD.jpg","wide_image-width":409,"wide_image-height":257}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Albania’s second model is simpler and was used as well in Moldova: it overwrites all the data in a hosted layer with no owner distinction. Owner information is left out to create a global view of the whole collection for management to use.<\/p>\nWhat metrics are tracked?<\/h2>\n"},{"acf_fc_layout":"content","content":"
Why monitor spatially?<\/h2>\n"},{"acf_fc_layout":"sidebar","content":"
Monitoring ArcGIS Field App Enumerations<\/h2>\n"},{"acf_fc_layout":"content","content":"
Monitoring CSPro and Other Collection Systems<\/h2>\n"},{"acf_fc_layout":"content","content":"
\n
Collect \u2192 Export \u2192 Transform (add geography) \u2192 Publish \u2192 Monitor<\/strong><\/h5>\n<\/blockquote>\n
Examples from Albania and Moldova<\/h3>\n