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FAO / LIBERIA AGRICULTURE STATISTICS
TRT: 04:00
SOURCE: FAO
RESTRICTIONS: PLEASE CREDIT FAO ON SCREEN
LANGUAGE: ENGLISH / KRAHN / NATS
DATELINE: PLEASE SEE THE SHOTLIST
11 SEPTEMBER 2024, ZIAH TOWN, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
1. Wide shot, Antony Dymacole walking in a field with farmer Suzana Tarway
2. Med shot, Antony Dymacole and colleagues having a conversation in the middle of a field
3. Various shots, Dymacole with farmer Suzana Tarway in field
4. SOUNDBITE (English) Antony Dymacole, Statistical Assistant, LISGIS:
“When it comes to survey in Liberia, one of the most [difficult] challenges is the accessibility. Most of our roads, are not good.”
10 SEPTEMBER 2024, ZWEDRU HIGHWAY, LIBERIA
5. Drone shot, cars and tracks stuck in a muddy road and people pushing a car
6. Wide shot, people pushing a LISGIS car to help move forward in a muddy road
11 SEPTEMBER 2024, ZIAH TOWN, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
7. Wide shot, numerators holding wooden sticks walking out of the road and into the forest
8. Drone shot, numerators walking from a field into the forest
9. Tracking shot, numerators walking in the forest
10. Various shots, Tarway and woman numerator, sitting and talking
11. SOUNDBITE (KRAHN), Farmer Suzana Tarway:
“I was a little bit afraid, but when Onika explained it to me, and we went through the survey document and she interview me and from then I understood it, I am happy about all the information she asked me.”
12. Close up, Dymacole tying a string at the top of a wooden stick
13. Med shot, Numerators tying and pulling a string from a tree
14. Med shot, woman numerator pushing a wooden stick from its top edge
15. Wide shot, numerators installing wooden sticks and strings in the field
16. Close up, hands cutting crop
17. SOUNDBITE (ENGLISH), Yakob Seid, Senior Statistician, FAO Statistics Division:
“A methodology like crop cutting for an instance, it helps us to have an objective estimate at the end of the day, because it goes through, all the process of crop cutting, the measuring the crop cut, the wet weight, the dry weight, etc, to come up with more reliable estimates that can come from the actual field, which the crop is growing.”
12 SEPTEMBER 2024, ZLEH TOWN, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
18. Drone shot, track forward, rice field with two people
19. Drone shot, tracks and a van appear stuck in a muddy road
10 SEPTEMBER 2024, ZWEDRU HIGHWAY, LIBERIA
20. Wide shot, FAO officals of the road
21. Tracking shot, Moncayo and Seid, in conversation with colleagues
11 SEPTEMBER 2024, ZIAH TOWN, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
22. SOUNDBITE (ENGLISH), José Rosero Moncayo, Director and Chief Statistician, FAO Statistics Division:
“Policymakers, countries and the society at large need the good data in order to make good policies, to implement them, and also monitor and measure its impact. That is one of the most important facts of the 50 by 2030. It is to use the data for the service of big development objectives such as eradicating hunger and reducing poverty.”
23. Med shot, numerator conducting a survey with two farmers
24. Wide shot, numerator conducting a survey with two farmers
11 OCTOBER 2024, DAKAR, SENEGAL
25. SOUNDBITE (ENGLISH), Bintia Stephen-Tchicaya, FAO Representative a.i. Liberia:
“Without reliable data interventions could be poorly targeted or even ineffective. Data also is useful, to empower the local communities because the data collected involves their own development needs.”
11 SEPTEMBER 2024, ZIAH TOWN, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
26. Wide shot, Moncayo and Seid in conversation with numerator and farmer
27. Med shot, numerator operating a tablet and conducting a survey with a farmer
11 SEPTEMBER 2024, KONOBO DISTRICT, GRAND GEDEH COUNTY, LIBERIA
28. Tracking shot, numerators walking in a field towards the forest
29. Wide shot, drone footage, numerators and statistician in conversation forming a circle
The Food and Agriculture Organization of the United Nations (FAO) is providing technical assistance to Liberia to address country’s data needs and bridging the data gaps – especially in locations where collecting statistical data is not easy, due to adverse weather events or difficulty in accessing remote locations.
Having reliable and high-quality data on the country’s agricultural production is crucial in supporting sound policy decision-making for sustainable development and meeting the growing demands for monitoring policy agendas.
Weather in Liberia sometimes impacts the plan to conduct surveys.
Antony Dymacole, Statistical Assistant, LISGIS said, “When it comes to survey in Liberia, one of the most [difficult] challenges is the accessibility. Most of our roads, they are not good.”
The surveying teams often must leave their vehicles stuck in muddy roads and walk long distances to reach farmers who are not always cooperating either out of luck of trust or are unable to quantify their production accurately in the standard measurement units.
Farmer Suzana Tarway said, “I was a little bit afraid, but when Onika explained it to me, and we went through the survey document and she interview me and from then I understood it, I am happy about all the information she asked me.”
The introduction of new technologies helped advance the data collection process.
Yakob Seid, Senior Statistician, FAO Statistics Division said, “A methodology like crop cutting for an instance, it helps us to have an objective estimate at the end of the day, because it goes through, all the process of crop cutting, the measuring the crop cut, the wet weight, the dry weight, etc, to come up with more reliable estimates that can come from the actual field, which the crop is growing.”
FAO is currently providing technical assistance to 31 countries in the context of its 50x2030 Initiative which aims to bridge the agricultural data gap by transforming data systems in 50 countries in Africa, Asia, the Middle East and Latin America by 2030.
José Rosero Moncayo, Director and Chief Statistician, FAO Statistics Division, said,
“Policymakers, countries and the society at large need the good data in order to make good policies, to implement them, and also monitor and measure its impact. That is one of the most important facts of the 50 by 2030. It is to use the data for the service of big development objectives such as eradicating hunger and reducing poverty.”
Liberia, like many African countries, have been collecting data manually, using pen and paper. The 50x2030 initiative helped the transition to digital data gathering, thus reducing the margin of errors in data collection and enhanced the overall quality of the information being gathered. Accurate data helps governments to attract funding from international donors who often require robust evidence to commit the resources.
Bintia Stephen-Tchicaya, FAO Representative in Liberia, said, “Without reliable data interventions could be poorly targeted or even ineffective. Data also is useful, to empower the local communities because the data collected involves their own development needs.”
The 50x2030 Initiative is a 10-year, USD500 million multi-agency partnership that seeks to bridge the agricultural data gap by transforming data systems in 50 countries in Africa, Asia, the Middle East and Latin America by 2030. It is implemented through a unique partnership between the World Bank, Food and Agriculture Organization of the United Nations (FAO) and International Fund for Agricultural Development (IFAD). 50x2030 works directly with partner countries to promote data-smart agriculture to address food crises, climate vulnerabilities, improve rural livelihoods, create jobs and build resilience.
FAO is currently providing technical assistance to 31 countries in the context of the 50x2030 Initiative.
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